Valid HTML 4.0! Valid CSS!
%%% -*-BibTeX-*-
%%% ====================================================================
%%%  BibTeX-file{
%%%     author          = "Nelson H. F. Beebe",
%%%     version         = "1.10",
%%%     date            = "20 August 2024",
%%%     time            = "08:42:49 MDT",
%%%     filename        = "imwut.bib",
%%%     address         = "University of Utah
%%%                        Department of Mathematics, 110 LCB
%%%                        155 S 1400 E RM 233
%%%                        Salt Lake City, UT 84112-0090
%%%                        USA",
%%%     telephone       = "+1 801 581 5254",
%%%     FAX             = "+1 801 581 4148",
%%%     URL             = "https://www.math.utah.edu/~beebe",
%%%     checksum        = "15136 28283 131005 1260939",
%%%     email           = "beebe at math.utah.edu, beebe at acm.org,
%%%                        beebe at computer.org (Internet)",
%%%     codetable       = "ISO/ASCII",
%%%     keywords        = "bibliography; BibTeX; Proceedings of the ACM
%%%                        on Interactive, Mobile, Wearable and
%%%                        Ubiquitous Technologies (IMWUT)",
%%%     license         = "public domain",
%%%     supported       = "yes",
%%%     docstring       = "This is a COMPLETE BibTeX bibliography for
%%%                        Proceedings of the ACM on Interactive,
%%%                        Mobile, Wearable and Ubiquitous Technologies
%%%                        (IMWUT) (CODEN ????, ISSN 2474-9567).  The
%%%                        journal appears annually, and publication
%%%                        began with volume 1, number 1, in March 2017.
%%%
%%%                        At version 1.10, the COMPLETE journal
%%%                        coverage looked like this:
%%%
%%%                             2017 (  65)    2020 ( 122)    2023 ( 153)
%%%                             2018 ( 120)    2021 ( 146)    2024 (  60)
%%%                             2019 ( 120)    2022 ( 120)
%%%
%%%                             Article:        906
%%%
%%%                             Total entries:  906
%%%
%%%                        The journal Web pages can be found at:
%%%
%%%                            http://imwut.acm.org/
%%%                            http://imwut.acm.org/archive-toc.cfm
%%%
%%%                        The journal table of contents pages are at:
%%%
%%%                            http://dl.acm.org/citation.cfm?id=J1566
%%%                            https://dl.acm.org/loi/imwut
%%%
%%%                        Qualified subscribers can retrieve the full
%%%                        text of recent articles in PDF form.
%%%
%%%                        The initial draft was extracted from the ACM
%%%                        Web pages.
%%%
%%%                        ACM copyrights explicitly permit abstracting
%%%                        with credit, so article abstracts, keywords,
%%%                        and subject classifications have been
%%%                        included in this bibliography wherever
%%%                        available.  Article reviews have been
%%%                        omitted, until their copyright status has
%%%                        been clarified.
%%%
%%%                        bibsource keys in the bibliography entries
%%%                        below indicate the entry originally came
%%%                        from the computer science bibliography
%%%                        archive, even though it has likely since
%%%                        been corrected and updated.
%%%
%%%                        URL keys in the bibliography point to
%%%                        World Wide Web locations of additional
%%%                        information about the entry.
%%%
%%%                        BibTeX citation tags are uniformly chosen
%%%                        as name:year:abbrev, where name is the
%%%                        family name of the first author or editor,
%%%                        year is a 4-digit number, and abbrev is a
%%%                        3-letter condensation of important title
%%%                        words. Citation tags were automatically
%%%                        generated by software developed for the
%%%                        BibNet Project.
%%%
%%%                        In this bibliography, entries are sorted in
%%%                        publication order, using ``bibsort -byvolume.''
%%%
%%%                        The checksum field above contains a CRC-16
%%%                        checksum as the first value, followed by the
%%%                        equivalent of the standard UNIX wc (word
%%%                        count) utility output of lines, words, and
%%%                        characters.  This is produced by Robert
%%%                        Solovay's checksum utility.",
%%%  }
%%% ====================================================================
@Preamble{"\input bibnames.sty" #
    "\def \TM {${}^{\sc TM}$}"
}

%%% ====================================================================
%%% Acknowledgement abbreviations:
@String{ack-nhfb = "Nelson H. F. Beebe,
                    University of Utah,
                    Department of Mathematics, 110 LCB,
                    155 S 1400 E RM 233,
                    Salt Lake City, UT 84112-0090, USA,
                    Tel: +1 801 581 5254,
                    FAX: +1 801 581 4148,
                    e-mail: \path|beebe@math.utah.edu|,
                            \path|beebe@acm.org|,
                            \path|beebe@computer.org| (Internet),
                    URL: \path|https://www.math.utah.edu/~beebe/|"}

%%% ====================================================================
%%% Journal abbreviations:
@String{j-IMWUT                 = "Proceedings of the ACM on Interactive,
                                  Mobile, Wearable and Ubiquitous
                                  Technologies (IMWUT)"}

%%% ====================================================================
%%% Bibliography entries:
@Article{Abowd:2017:E,
  author =       "Gregory D. Abowd and Vassilis Kostakos and Silvia
                 Santini and James Scott and Koji Yatani",
  title =        "Editorial",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "1",
  pages =        "1--1",
  month =        mar,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3075960",
  ISSN =         "2474-9567",
  ISSN-L =       "2474-9567",
  bibdate =      "Fri Jun 16 10:24:00 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3075960",
  acknowledgement = ack-nhfb,
  articleno =    "",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Dementyev:2017:DWD,
  author =       "Artem Dementyev and Christian Holz",
  title =        "{DualBlink}: a Wearable Device to Continuously Detect,
                 Track, and Actuate Blinking For Alleviating Dry Eyes
                 and Computer Vision Syndrome",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "1",
  pages =        "1:1--1:19",
  month =        mar,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3053330",
  ISSN =         "2474-9567",
  ISSN-L =       "2474-9567",
  bibdate =      "Fri Jun 16 10:24:00 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3053330",
  abstract =     "Increased visual attention, such as during computer
                 use leads to less blinking, which can cause dry eyes
                 --- the leading cause of computer vision syndrome. As
                 people spend more time looking at screens on mobile and
                 desktop devices, computer vision syndrome is becoming
                 epidemic in today's population, leading to blurry
                 vision, fatigue, and a reduced quality of life. One way
                 to alleviate dry eyes is increased blinking. In this
                 paper, we present a series of glasses-mounted devices
                 that track the wearer's blink rate and, upon absent
                 blinks, trigger blinks through actuation: light
                 flashes, physical taps, and small puffs of air near the
                 eye. We conducted a user study to evaluate the
                 effectiveness of our devices and found that air puff
                 and physical tap actuations result in a 36\% increase
                 in participants' average blink rate. Air puff thereby
                 struck the best compromise between effective blink
                 actuations and low distraction ratings from
                 participants. In a follow-up study, we found that high
                 intensity, short puffs near the eye were most effective
                 in triggering blinks while receiving only low-rated
                 distraction and invasiveness ratings from participants.
                 We conclude this paper with two miniaturized and
                 self-contained DualBlink prototypes, one integrated
                 into the frame of a pair of glasses and the other one
                 as a clip-on for existing glasses. We believe that
                 DualBlink can serve as an always-available and viable
                 option to treat computer vision syndrome in the
                 future.",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Hassan:2017:FEB,
  author =       "Mahmoud Hassan and Florian Daiber and Frederik Wiehr
                 and Felix Kosmalla and Antonio Kr{\"u}ger",
  title =        "{FootStriker}: an {EMS}-based Foot Strike Assistant
                 for Running",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "1",
  pages =        "2:1--2:18",
  month =        mar,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3053332",
  ISSN =         "2474-9567",
  ISSN-L =       "2474-9567",
  bibdate =      "Fri Jun 16 10:24:00 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3053332",
  abstract =     "In running, knee-related injuries are very common. The
                 main cause are high impact forces when striking the
                 ground with the heel first. Mid- or forefoot running is
                 generally known to reduce impact loads and to be a more
                 efficient running style. In this paper, we introduce a
                 wearable running assistant, consisting of an electrical
                 muscle stimulation (EMS) device and an insole with
                 force sensing resistors. It detects heel striking and
                 actuates the calf muscles during the flight phase to
                 control the foot angle before landing. We conducted a
                 user study, in which we compared the classical coaching
                 approach using slow motion video analysis as a terminal
                 feedback to our proposed real-time EMS feedback. The
                 results show that EMS actuation significantly
                 outperforms traditional coaching, i.e., a decreased
                 average heel striking rate, when using the system. As
                 an implication, EMS feedback can generally be
                 beneficial for the motor learning of complex,
                 repetitive movements.",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Liu:2017:GAU,
  author =       "Can Liu and Gradeigh D. Clark and Janne Lindqvist",
  title =        "Guessing Attacks on User-Generated Gesture Passwords",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "1",
  pages =        "3:1--3:24",
  month =        mar,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3053331",
  ISSN =         "2474-9567",
  ISSN-L =       "2474-9567",
  bibdate =      "Fri Jun 16 10:24:00 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3053331",
  abstract =     "Touchscreens, the dominant input type for mobile
                 phones, require unique authentication solutions.
                 Gesture passwords have been proposed as an alternative
                 ubiquitous authentication technique. Prior security
                 analysis has relied on inconsistent measurements such
                 as mutual information or shoulder surfing attacks.We
                 present the first approach for measuring the security
                 of gestures with guessing attacks that model real-world
                 attacker behavior. Our major contributions are: (1) a
                 comprehensive analysis of the weak subspace for gesture
                 passwords, (2) a method for enumerating the size of the
                 full theoretical gesture password space, (3) a design
                 of a novel guessing attack against user-chosen gestures
                 using a dictionary, and (4) a brute-force attack used
                 for benchmarking the performance of the guessing
                 attack. Our dictionary attack, tested on newly
                 collected user data, achieves a cracking rate of
                 47.71\% after two weeks of computation using 109
                 guesses. This is a difference of 35.78 percentage
                 points compared to the 11.93\% cracking rate of the
                 brute-force attack. In conclusion, users are not taking
                 full advantage of the large theoretical password space
                 and instead choose their gesture passwords from weak
                 subspaces. We urge for further work on addressing this
                 challenge.",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Akazue:2017:UTS,
  author =       "Moses Akazue and Martin Halvey and Lynne Baillie",
  title =        "Using Thermal Stimuli to Enhance Photo-Sharing in
                 Social Media",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090050",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090050",
  abstract =     "Limited work has been undertaken to show how the
                 emotive ability of thermal stimuli can be used for
                 interaction purposes. One potential application area is
                 using thermal stimuli to influence emotions in images
                 shared online such as social media platforms. This
                 paper presents a two-part study, which examines how the
                 documented emotive property of thermal stimuli can be
                 applied to enhance social media images. Participants in
                 part-one supplied images from their personal collection
                 or social media profiles, and were asked to augment
                 each image with thermal stimuli based on the emotions
                 they wanted to enhance or reduce. Part-one participants
                 were interviewed to understand the effects they wanted
                 augmented images to have. In part-two, these augmented
                 images were perceived by a different set of
                 participants in a simulated social media interface.
                 Results showed strong agreement between the emotions
                 augmented images were designed to evoke and the
                 emotions they actually evoked as perceived by part-two
                 participants. Participants in part-one selected thermal
                 stimuli augmentation intended to modulate valence and
                 arousal in images as a way of enhancing the realism of
                 the images augmented. Part-two results indicate this
                 was achieved as participants perceived thermal stimuli
                 augmentation reduced valence in negative images and
                 modulated valence and arousal in positive images.",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Bae:2017:DDE,
  author =       "Sangwon Bae and Denzil Ferreira and Brian Suffoletto
                 and Juan C. Puyana and Ryan Kurtz and Tammy Chung and
                 Anind K. Dey",
  title =        "Detecting Drinking Episodes in Young Adults Using
                 {Smartphone}-based Sensors",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090051",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090051",
  abstract =     "Alcohol use in young adults is common, with high rates
                 of morbidity and mortality largely due to periodic,
                 heavy drinking episodes (HDEs). Behavioral
                 interventions delivered through electronic
                 communication modalities (e.g., text messaging) can
                 reduce the frequency of HDEs in young adults, but
                 effects are small. One way to amplify these effects is
                 to deliver support materials proximal to drinking
                 occasions, but this requires knowledge of when they
                 will occur. Mobile phones have built-in sensors that
                 can potentially be useful in monitoring behavioral
                 patterns associated with the initiation of drinking
                 occasions. The objective of our work is to explore the
                 detection of daily-life behavioral markers using mobile
                 phone sensors and their utility in identifying drinking
                 occasions. We utilized data from 30 young adults aged
                 21-28 with past hazardous drinking and collected mobile
                 phone sensor data and daily Experience Sampling Method
                 (ESM) of drinking for 28 consecutive days. We built a
                 machine learning-based model that is 96.6\% accurate at
                 identifying non-drinking, drinking and heavy drinking
                 episodes. We highlight the most important features for
                 detecting drinking episodes and identify the amount of
                 historical data needed for accurate detection. Our
                 results suggest that mobile phone sensors can be used
                 for automated, continuous monitoring of at-risk
                 populations to detect drinking episodes and support the
                 delivery of timely interventions.",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Baumann:2017:EBC,
  author =       "Paul Baumann and Silvia Santini",
  title =        "Every Byte Counts: Selective Prefetching for Mobile
                 Applications",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090052",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090052",
  abstract =     "Quick responses to user actions are instrumental to
                 the success of mobile applications. To ensure such
                 responsiveness, applications often prefetch data
                 objects before the user requests them. This way,
                 applications can avoid the need to retrieve data
                 through slow network connections during user
                 interactions. However, prefetches may also harm. They
                 increase launch delays and might cause substantial
                 amounts of data to be downloaded through energy-hungry,
                 cellular connections. In this paper, we propose EBC, a
                 novel algorithm to schedule application prefetches and
                 overcome their drawbacks. EBC computes application
                 usage probabilities and traffic volume estimates to
                 determine when and for which applications prefetches
                 should be triggered. Thereby, it applies different
                 strategies depending on whether a cellular or Wi-Fi
                 connection is available. We evaluate the performance of
                 EBC on two publicly available, large-scale data sets:
                 LiveLab and Device Analyzer. Our results show that EBC
                 can lower launch delays and ensure freshness of
                 application content. At the same time, it reduces the
                 amount of data downloaded through cellular connections.
                 On the Device Analyzer data set, for instance, EBC
                 achieves a 10\% reduction in cellular traffic and a
                 36\% better average freshness with respect to its
                 closest competitor.",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Butscher:2017:ITO,
  author =       "Simon Butscher and Maximilian D{\"u}rr and Harald
                 Reiterer",
  title =        "{InformationSense}: Trade-offs for the Design and the
                 Implementation of a Large Highly Deformable Cloth
                 Display",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090053",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090053",
  abstract =     "Deformable displays can provide two major benefits
                 compared to rigid displays: Objects of different shapes
                 and deformabilities, situated in our physical
                 environment, can be equipped with deformable displays,
                 and users can benefit from their pre-existing knowledge
                 about the interaction with physical objects when
                 interacting with deformable displays. In this article
                 we present InformationSense, a large, highly deformable
                 cloth display. The article contributes to two research
                 areas in the context of deformable displays: It
                 presents an approach for the tracking of large, highly
                 deformable surfaces, and it presents one of the first
                 UX analyses of cloth displays that will help with the
                 design of future interaction techniques for this kind
                 of display. The comparison of InformationSense with a
                 rigid display interface unveiled the trade-off that
                 while users are able to interact with InformationSense
                 more naturally and significantly preferred
                 InformationSense in terms of joy of use, they preferred
                 the rigid display interfaces in terms of efficiency.
                 This suggests that deformable displays are already
                 suitable if high hedonic qualities are important but
                 need to be enhanced with additional digital power if
                 high pragmatic qualities are required.",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Chen:2017:MMT,
  author =       "Ke-Yu Chen and Rahul C. Shah and Jonathan Huang and
                 Lama Nachman",
  title =        "{Mago}: Mode of Transport Inference Using the
                 {Hall}-Effect Magnetic Sensor and Accelerometer",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090054",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090054",
  abstract =     "In this paper, we introduce Mago, a novel system that
                 can infer a person's mode of transport (MOT) using the
                 Hall-effect magnetic sensor and accelerometer present
                 in most smart devices. When a vehicle is moving, the
                 motions of its mechanical components such as the
                 wheels, transmission and the differential distort the
                 earth's magnetic field. The magnetic field is distorted
                 corresponding to the vehicle structure (e.g., bike
                 chain or car transmission system), which manifests
                 itself as a strong signal for sensing a person's
                 transportation modality. We utilize this magnetic
                 signal combined with the accelerometer and design a
                 robust algorithm for the MOT detection. In particular,
                 our system extracts frame-based features from the
                 sensor data and can run in nearly real-time with only a
                 few seconds of delay. We evaluated Mago using over 70
                 hours of daily commute data from 7 participants and the
                 leave-one-out analysis of our cross-user, cross-device
                 model reports an average accuracy of 94.4\% among seven
                 classes (stationary, bus, bike, car, train, light rail
                 and scooter). Besides MOT, our system is able to
                 reliably differentiate the phone's in-car position at
                 an average accuracy of 92.9\%. We believe Mago could
                 potentially benefit many contextually-aware
                 applications that require MOT detection such as a
                 digital personal assistant or a life coaching
                 application.",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Dobbelstein:2017:PWD,
  author =       "David Dobbelstein and Christian Winkler and Gabriel
                 Haas and Enrico Rukzio",
  title =        "{PocketThumb}: a Wearable Dual-Sided Touch Interface
                 for Cursor-based Control of Smart-Eyewear",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090055",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090055",
  abstract =     "We present PocketThumb, a wearable touch interface for
                 smart-eyewear that is embedded into the fabrics of the
                 front trouser pocket. The interface is reachable from
                 outside and inside of the pocket to allow for a
                 combined dual-sided touch input. The user can control
                 an absolute cursor with their thumb sliding along the
                 fabric from the inside, while at the same time tapping
                 or swiping with fingers from the outside to perform
                 joint gestures. This allows for resting the hand in a
                 comfortable and quickly accessible position, while
                 performing interaction with a high expressiveness that
                 is feasible in mobile scenarios. In a cursor-based
                 target selection study, we found that our introduced
                 dual-sided touch interaction is significantly faster in
                 comparison to common single-sided absolute as well as
                 relative touch interaction ($ \approx 19 \% $, resp. $
                 \approx 23 \% $ faster). The effect is largest in the
                 mobile conditions standing and walking (up to $ \approx
                 31 \% $ faster).",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Finnigan:2017:AAE,
  author =       "S. Mitchell Finnigan and A. K. Clear and G.
                 Farr-Wharton and K. Ladha and R. Comber",
  title =        "Augmenting Audits: Exploring the Role of Sensor
                 Toolkits in Sustainable Buildings Management",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090075",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090075",
  abstract =     "Audits are commonly carried out by facilities managers
                 (FMs) to quantify the sustainability and performance of
                 the buildings they manage, informing improvements to
                 infrastructure for resource and cost savings, and
                 assessing compliance with standards and legislation.
                 The scope for what can be audited is limited by
                 available infrastructure. In this article, we
                 investigate the utility of a flexible sensor toolkit to
                 enhance existing energy auditing practices. We present
                 findings from a qualitative study with FM and student
                 auditor participants from 3 organisations. Our study
                 covers how these toolkits were used and integrated into
                 auditing practices within these organisations, and the
                 opportunities and issues for resource management that
                 arose as a result. We conclude with design implications
                 for toolkits to support sensor-augmented audits, make
                 recommendations towards a deployment protocol for
                 sensor toolkits used in this context, and develop
                 broader considerations for how future standards and
                 policies might be adapted to leverage this potential.",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Guan:2017:EDL,
  author =       "Yu Guan and Thomas Pl{\"o}tz",
  title =        "Ensembles of Deep {LSTM} Learners for Activity
                 Recognition using Wearables",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090076",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090076",
  abstract =     "Recently, deep learning (DL) methods have been
                 introduced very successfully into human activity
                 recognition (HAR) scenarios in ubiquitous and wearable
                 computing. Especially the prospect of overcoming the
                 need for manual feature design combined with superior
                 classification capabilities render deep neural networks
                 very attractive for real-life HAR applications. Even
                 though DL-based approaches now outperform the
                 state-of-the-art in a number of recognition tasks,
                 still substantial challenges remain. Most prominently,
                 issues with real-life datasets, typically including
                 imbalanced datasets and problematic data quality, still
                 limit the effectiveness of activity recognition using
                 wearables. In this paper we tackle such challenges
                 through Ensembles of deep Long Short Term Memory (LSTM)
                 networks. LSTM networks currently represent the
                 state-of-the-art with superior classification
                 performance on relevant HAR benchmark datasets. We have
                 developed modified training procedures for LSTM
                 networks and combine sets of diverse LSTM learners into
                 classifier collectives. We demonstrate that Ensembles
                 of deep LSTM learners outperform individual LSTM
                 networks and thus push the state-of-the-art in human
                 activity recognition using wearables. Through an
                 extensive experimental evaluation on three standard
                 benchmarks (Opportunity, PAMAP2, Skoda) we demonstrate
                 the excellent recognition capabilities of our approach
                 and its potential for real-life applications of human
                 activity recognition.",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Gummeson:2017:RLB,
  author =       "Jeremy Gummeson and James Mccann and Chouchang (JACK)
                 Yang and Damith Ranasinghe and Scott Hudson and Alanson
                 Sample",
  title =        "{RFID} Light Bulb: Enabling Ubiquitous Deployment of
                 Interactive {RFID} Systems",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090077",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090077",
  abstract =     "Radio-Frequency Identification (RFID) technology has
                 the potential to provide inexpensive, wireless,
                 battery-free connectivity and interactivity for objects
                 that are traditionally not instrumented. However, these
                 systems have not seen widespread deployment outside
                 warehouses and supply chains, owing to the complexity
                 of installing bulky RFID readers, antennas, and their
                 supporting power and network infrastructure. In this
                 work, we leverage advances in semiconductor optics, RF
                 antenna design and system integration to create a
                 hybrid RFID reader and smart LED lamp, in the form
                 factor of a standard light bulb. This makes deploying
                 RFID readers literally as easy as screwing in a light
                 bulb. We explore the home-scale RFID interactions
                 enabled by these smart bulbs, including infrastructure
                 monitoring, localization and guided navigation, and
                 standalone lighting effects.",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Hintze:2017:LSL,
  author =       "Daniel Hintze and Philipp Hintze and Rainhard D.
                 Findling and Ren{\'e} Mayrhofer",
  title =        "A Large-Scale, Long-Term Analysis of Mobile Device
                 Usage Characteristics",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090078",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090078",
  abstract =     "Today, mobile devices like smartphones and tablets
                 have become an indispensable part of people's lives,
                 posing many new questions e.g., in terms of interaction
                 methods, but also security. In this paper, we conduct a
                 large scale, long term analysis of mobile device usage
                 characteristics like session length, interaction
                 frequency, and daily usage in locked and unlocked state
                 with respect to location context and diurnal pattern.
                 Based on detailed logs from 29,279 mobile phones and
                 tablets representing a total of 5,811 years of usage
                 time, we identify and analyze 52.2 million usage
                 sessions with some participants providing data for more
                 than four years. Our results show that context has a
                 highly significant effect on both frequency and extent
                 of mobile device usage, with mobile phones being used
                 twice as much at home compared to in the office.
                 Interestingly, devices are unlocked for only 46 \% of
                 the interactions. We found that with an average of 60
                 interactions per day, smartphones are used almost
                 thrice as often as tablet devices (23), while usage
                 sessions on tablets are three times longer, hence are
                 used almost for an equal amount of time throughout the
                 day. We conclude that usage session characteristics
                 differ considerably between tablets and smartphones.
                 These results inform future approaches to mobile
                 interaction as well as security.",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Jain:2017:PUS,
  author =       "Milan Jain and Amarjeet Singh and Vikas Chandan",
  title =        "{Portable+}: a Ubiquitous and Smart Way Towards
                 Comfortable Energy Savings",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090079",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090079",
  abstract =     "An air conditioner (AC) consumes a significant
                 proportion of the total household power consumption.
                 Primarily used in developing countries, decentralised
                 AC has an inbuilt thermostat to cool the room to a
                 temperature, manually set by the users. However,
                 residents are incapable of specifying their goal
                 through these thermostats - maximise their comfort or
                 save AC energy. State-of-the-art portable thermostats
                 emulate AC remotes and assist occupants in remotely
                 changing the thermostat temperature, through their
                 smartphones. We propose extending such thermostats to
                 portable+ by adding a Comfort-Energy Trade-off (CET)
                 knob, realised through an optimisation framework to
                 allow users to balance their comfort and the savings
                 without worrying about the right set temperature.
                 Analysis based on real data, collected from a
                 controlled experiment (across two rooms for two weeks)
                 and an in-situ deployment (across five rooms for three
                 months), indicates that portable+ thermostats can
                 reduce residents' discomfort by 23\% (CET selection for
                 maximal comfort) and save 26\% energy when CET is set
                 for maximising savings.",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Johnson:2017:BWC,
  author =       "I. Johnson and J. Henderson and C. Perry and J.
                 Sch{\"o}ning and B. Hecht",
  title =        "Beautiful \ldots{} but at What Cost?: an Examination
                 of Externalities in Geographic Vehicle Routing",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090080",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090080",
  abstract =     "Millions of people use platforms such as Google Maps
                 to search for routes to their desired destinations.
                 Recently, researchers and mapping platforms have shown
                 growing interest in optimizing routes for criteria
                 other than travel time, e.g. simplicity, safety, and
                 beauty. However, despite the ubiquity of algorithmic
                 routing and its potential to define how millions of
                 people move around the world, very little is known
                 about the externalities that arise when adopting these
                 new optimization criteria, e.g. potential
                 redistribution of traffic to certain neighborhoods and
                 increased route complexity (with its associated risks).
                 In this paper, we undertake the first controlled
                 examination of these externalities, doing so across
                 multiple mapping platforms, alternative optimizations,
                 and cities. We find, for example, that scenic routing
                 (i.e. ``beauty''-optimized routing) would remove
                 vehicles from highways, greatly increase traffic around
                 parks, and, in certain cases, do the same for
                 high-income areas. Our results also highlight that the
                 interaction between routing criteria and urban
                 structure is complex and effects vary from city to
                 city, an important consideration for the growing
                 literature on alternative routing strategies. Finally,
                 to address the lack of open implementations of
                 alternative routing algorithms and controlled routing
                 evaluation frameworks, we are releasing our alternative
                 routing and evaluation platform with this paper.",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Kucera:2017:TCD,
  author =       "Jan Kucera and James Scott and Nicholas Chen and
                 Patrick Olivier and Steve Hodges",
  title =        "Towards Calm Displays: Matching Ambient Illumination
                 in Bedrooms",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090081",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090081",
  abstract =     "We present a system for making emissive computer
                 displays (LCDs) look like they are reflective, i.e. not
                 emitting light but instead reflecting ambient light, an
                 effect that we call a ``calm display''. We achieve this
                 effect by using a light sensor and a one-time
                 calibration process to drive an algorithm which
                 controls the display's backlight intensity and gamma
                 correction functionality to continually match the
                 brightness and chromaticity of the ambient light. We
                 present an experimental evaluation of our system,
                 showing quantitatively that the color and brightness
                 output by our system is perceptually close to that of a
                 piece of paper under similar lighting conditions. We
                 argue that calm displays can more easily fade into the
                 background, and further that they are more suitable for
                 environments such as bedrooms where glowing displays
                 are often out-of-place. We validate these claims and
                 more generally explore users' perception of calm
                 displays, through a field study of an LCD display
                 deployed in participants' bedrooms.",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Lu:2017:BEF,
  author =       "Yiqin Lu and Chun Yu and Xin Yi and Yuanchun Shi and
                 Shengdong Zhao",
  title =        "{BlindType}: Eyes-Free Text Entry on Handheld Touchpad
                 by Leveraging Thumb's Muscle Memory",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090083",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090083",
  abstract =     "Eyes-free input is desirable for ubiquitous computing,
                 since interacting with mobile and wearable devices
                 often competes for visual attention with other devices
                 and tasks. In this paper, we explore eyes-free typing
                 on a touchpad using one thumb, wherein a user taps on
                 an imaginary QWERTY keyboard while receiving text
                 feedback on a separate screen. Our hypothesis is that
                 users can transfer their typing ability obtained from
                 visible keyboards to eyes-free use. We propose two
                 statistical decoding algorithms to infer users'
                 eyes-free input: the absolute algorithm and the
                 relative algorithm. The absolute algorithm infers user
                 input based on the absolute position of touch
                 endpoints, while the relative algorithm infers based on
                 the vectors between successive touch endpoints.
                 Evaluation results showed users could achieve
                 satisfying performance with both algorithms. Text entry
                 rate was 17-23 WPM (words per minute) depending on the
                 algorithm used. In comparison, a baseline cursor-based
                 text entry method yielded only 7.66 WPM. In conclusion,
                 our research demonstrates for the first time the
                 feasibility of thumb-based eyes-free typing, which
                 provides a new possibility for text entry on ubiquitous
                 computing platforms such as smart TVs and HMDs.",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Maag:2017:SMH,
  author =       "Balz Maag and Zimu Zhou and Olga Saukh and Lothar
                 Thiele",
  title =        "{SCAN}: Multi-Hop Calibration for Mobile Sensor
                 Arrays",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090084",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090084",
  abstract =     "Urban air pollution monitoring with mobile, portable,
                 low-cost sensors has attracted increasing research
                 interest for their wide spatial coverage and affordable
                 expenses to the general public. However, low-cost air
                 quality sensors not only drift over time but also
                 suffer from cross-sensitivities and dependency on
                 meteorological effects. Therefore calibration of
                 measurements from low-cost sensors is indispensable to
                 guarantee data accuracy and consistency to be fit for
                 quantitative studies on air pollution. In this work we
                 propose sensor array network calibration (SCAN), a
                 multi-hop calibration technique for dependent low-cost
                 sensors. SCAN is applicable to sets of co-located,
                 heterogeneous sensors, known as sensor arrays, to
                 compensate for cross-sensitivities and dependencies on
                 meteorological influences. SCAN minimizes error
                 accumulation over multiple hops of sensor arrays, which
                 is unattainable with existing multi-hop calibration
                 techniques. We formulate SCAN as a novel constrained
                 least-squares regression and provide a closed-form
                 expression of its regression parameters. We
                 theoretically prove that SCAN is free from regression
                 dilution even in presence of measurement noise.
                 In-depth simulations demonstrate that SCAN outperforms
                 various calibration techniques. Evaluations on two
                 real-world low-cost air pollution sensor datasets
                 comprising 66 million samples collected over three
                 years show that SCAN yields 16\% to 60\% lower error
                 than state-of-the-art calibration techniques.",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Mariakakis:2017:BSB,
  author =       "Alex Mariakakis and Megan A. Banks and Lauren Phillipi
                 and Lei Yu and James Taylor and Shwetak N. Patel",
  title =        "{BiliScreen}: {Smartphone}-Based Scleral Jaundice
                 Monitoring for Liver and Pancreatic Disorders",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090085",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090085",
  abstract =     "Pancreatic cancer has one of the worst survival rates
                 amongst all forms of cancer because its symptoms
                 manifest later into the progression of the disease. One
                 of those symptoms is jaundice, the yellow discoloration
                 of the skin and sclera due to the buildup of bilirubin
                 in the blood. Jaundice is only recognizable to the
                 naked eye in severe stages, but a ubiquitous test using
                 computer vision and machine learning can detect milder
                 forms of jaundice. We propose BiliScreen, a smartphone
                 app that captures pictures of the eye and produces an
                 estimate of a person's bilirubin level, even at levels
                 normally undetectable by the human eye. We test two
                 low-cost accessories that reduce the effects of
                 external lighting: (1) a 3D-printed box that controls
                 the eyes' exposure to light and (2) paper glasses with
                 colored squares for calibration. In a 70-person
                 clinical study, we found that BiliScreen with the box
                 achieves a Pearson correlation coefficient of 0.89 and
                 a mean error of -0.09 \pm 2.76 mg/dl in predicting a
                 person's bilirubin level. As a screening tool,
                 BiliScreen identifies cases of concern with a
                 sensitivity of 89.7\% and a specificity of 96.8\% with
                 the box accessory.",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Niforatos:2017:CLM,
  author =       "Evangelos Niforatos and Caterina Cinel and Cathleen
                 Cortis Mack and Marc Langheinrich and Geoff Ward",
  title =        "Can Less be More?: Contrasting Limited, Unlimited, and
                 Automatic Picture Capture for Augmenting Memory
                 Recall",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090086",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090086",
  abstract =     "Today's abundance1 of cheap digital storage in the
                 form of tiny memory cards put literally no bounds on
                 the number of images one can capture with one's digital
                 camera or smartphone during an event. However, prior
                 work has shown that taking many pictures may actually
                 make us remember less of a particular event. Does
                 automated picture taking (lifelogging) help avoid this,
                 yet still offer to capture meaningful pictures? In this
                 work, we investigate the effect of capture modality
                 (i.e., limited, unlimited, automatic, and no capture)
                 on people's ability to recall a past event - with and
                 without the support of the pictures captured through
                 these modalities. Our results from a field experiment
                 with 83 participants show that capturing fewer pictures
                 does not necessarily lead to the capture of more
                 relevant pictures. However, when controlling for number
                 of pictures taken, our results show that having a
                 limited number of pictures to capture may lead to
                 pictures with increased memory value. At the same time,
                 automated capture failed to produce pictures that would
                 help remember the past experience better.",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Price:2017:LYL,
  author =       "Blaine A. Price and Avelie Stuart and Gul Calikli and
                 Ciaran Mccormick and Vikram Mehta and Luke Hutton and
                 Arosha K. Bandara and Mark Levine and Bashar Nuseibeh",
  title =        "Logging you, Logging me: a Replicable Study of Privacy
                 and Sharing Behaviour in Groups of Visual Lifeloggers",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090087",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090087",
  abstract =     "Low cost digital cameras in smartphones and wearable
                 devices make it easy for people to automatically
                 capture and share images as a visual lifelog. Having
                 been inspired by a US campus based study that explored
                 individual privacy behaviours of visual lifeloggers, we
                 conducted a similar study on a UK campus, however we
                 also focussed on the privacy behaviours of groups of
                 lifeloggers. We argue for the importance of
                 replicability and therefore we built a publicly
                 available toolkit, which includes camera design, study
                 guidelines and source code. Our results show some
                 similar sharing behaviour to the US based study: people
                 tried to preserve the privacy of strangers, but we
                 found fewer bystander reactions despite using a more
                 obvious camera. In contrast, we did not find a
                 reluctance to share images of screens but we did find
                 that images of vices were shared less. Regarding
                 privacy behaviours in groups of lifeloggers, we found
                 that people were more willing to share images of people
                 they were interacting with than of strangers, that
                 lifelogging in groups could change what defines a
                 private space, and that lifelogging groups establish
                 different rules to manage privacy for those inside and
                 outside the group.",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Rostaminia:2017:ILP,
  author =       "Soha Rostaminia and Addison Mayberry and Deepak
                 Ganesan and Benjamin Marlin and Jeremy Gummeson",
  title =        "{iLid}: Low-power Sensing of Fatigue and Drowsiness
                 Measures on a Computational Eyeglass",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "1--26",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090088",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 13:55:44 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3090088",
  abstract =     "The ability to monitor eye closures and blink patterns
                 has long been known to enable accurate assessment of
                 fatigue and drowsiness in individuals. Many measures of
                 the eye are known to be correlated with fatigue
                 including coarse-grained measures like \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Sapiezynski:2017:IPP,
  author =       "Piotr Sapiezynski and Arkadiusz Stopczynski and David
                 Kofoed Wind and Jure Leskovec and Sune Lehmann",
  title =        "Inferring Person-to-person Proximity Using {WiFi}
                 Signals",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090089",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090089",
  abstract =     "Today's societies are enveloped in an ever-growing
                 telecommunication infrastructure. This infrastructure
                 offers important opportunities for sensing and
                 recording a multitude of human behaviors. Human
                 mobility patterns are a prominent example of such a
                 behavior which has been studied based on cell phone
                 towers, Bluetooth beacons, and WiFi networks as proxies
                 for location. While mobility is an important aspect of
                 human behavior, it is also crucial to study physical
                 interactions among individuals. Sensing proximity that
                 enables social interactions on a large scale is a
                 technical challenge and many commonly used
                 approaches-including RFID badges or Bluetooth
                 scanning-offer only limited scalability. Here we show
                 that it is possible, in a scalable and robust way, to
                 accurately infer person-to-person physical proximity
                 from the lists of WiFi access points measured by
                 smartphones carried by the two individuals. Based on a
                 longitudinal dataset of approximately 800 participants
                 with ground-truth Bluetooth proximity collected over a
                 year, we show that our model performs better than the
                 current state-of-the-art. Our results demonstrate the
                 value of WiFi signals as a tool for social sensing and
                 show how collections of WiFi data pose a potential
                 threat to privacy.",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Sicong:2017:UBL,
  author =       "Liu Sicong and Zhou Zimu and Du Junzhao and Shangguan
                 Longfei and Jun Han and Xin Wang",
  title =        "{UbiEar}: Bringing Location-independent Sound
                 Awareness to the Hard-of-hearing People with
                 Smartphones",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090082",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090082",
  abstract =     "Non-speech sound-awareness is important to improve the
                 quality of life for the deaf and hard-of-hearing (DHH)
                 people. DHH people, especially the young, are not
                 always satisfied with their hearing aids. According to
                 the interviews with 60 young hard-of-hearing students,
                 a ubiquitous sound-awareness tool for emergency and
                 social events that works in diverse environments is
                 desired. In this paper, we design UbiEar, a
                 smartphone-based acoustic event sensing and
                 notification system. Core techniques in UbiEar are a
                 light-weight deep convolution neural network to enable
                 location-independent acoustic event recognition on
                 commodity smartphons, and a set of mechanisms for
                 prompt and energy-efficient acoustic sensing. We
                 conducted both controlled experiments and user studies
                 with 86 DHH students and showed that UbiEar can assist
                 the young DHH students in awareness of important
                 acoustic events in their daily life.",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Soha:2017:ILP,
  author =       "Rostaminia Soha and Mayberry Addison and Ganesan
                 Deepak and Marlin Benjamin and Gummeson Jeremy",
  title =        "{iLid}: Low-power Sensing of Fatigue and Drowsiness
                 Measures on a Computational Eyeglass",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090088",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090088",
  abstract =     "The ability to monitor eye closures and blink patterns
                 has long been known to enable accurate assessment of
                 fatigue and drowsiness in individuals. Many measures of
                 the eye are known to be correlated with fatigue
                 including coarse-grained measures like the rate of
                 blinks as well as fine-grained measures like the
                 duration of blinks and the extent of eye closures.
                 Despite a plethora of research validating these
                 measures, we lack wearable devices that can continually
                 and reliably monitor them in the natural environment.
                 In this work, we present a low-power system, iLid, that
                 can continually sense fine-grained measures such as
                 blink duration and Percentage of Eye Closures (PERCLOS)
                 at high frame rates of 100fps. We present a complete
                 solution including design of the sensing, signal
                 processing, and machine learning pipeline;
                 implementation on a prototype computational eyeglass
                 platform; and extensive evaluation under many
                 conditions including illumination changes, eyeglass
                 shifts, and mobility. Our results are very encouraging,
                 showing that we can detect blinks, blink duration,
                 eyelid location, and fatigue-related metrics such as
                 PERCLOS with less than a few percent error.",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Talla:2017:BFC,
  author =       "Vamsi Talla and Bryce Kellogg and Shyamnath Gollakota
                 and Joshua R. Smith",
  title =        "Battery-Free Cellphone",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090090",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090090",
  abstract =     "We present the first battery-free cellphone design
                 that consumes only a few micro-watts of power. Our
                 design can sense speech, actuate the earphones, and
                 switch between uplink and downlink communications, all
                 in real time. Our system optimizes transmission and
                 reception of speech while simultaneously harvesting
                 power which enables the battery-free cellphone to
                 operate continuously. The battery-free device prototype
                 is built using commercial-off-the-shelf components on a
                 printed circuit board. It can operate on power that is
                 harvested from RF signals transmitted by a basestation
                 31 feet (9.4 m) away. Further, using power harvested
                 from ambient light with tiny photodiodes, we show that
                 our device can communicate with a basestation that is
                 50 feet (15.2 m) away. Finally, we perform the first
                 Skype call using a battery-free phone over a cellular
                 network, via our custom bridged basestation. This we
                 believe is a major leap in the capability of
                 battery-free devices and a step towards a fully
                 functional battery-free cellphone.",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Tang:2017:HLT,
  author =       "Lie Ming Tang and Judy Kay",
  title =        "Harnessing Long Term Physical Activity Data --- How
                 Long-term Trackers Use Data and How an Adherence-based
                 Interface Supports New Insights",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090091",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090091",
  abstract =     "Increasingly, people are amassing long term physical
                 activity data which could play an important role for
                 reflection. However, it is not clear if and how
                 existing trackers use their long term data and
                 incomplete data is a potential challenge. We introduced
                 the notion of adherence to design iStuckWithIt, a
                 custom calendar display that integrates and embeds
                 daily adherence (days with data and days without),
                 hourly adherence (hours of wear each day) and goal
                 adherence (days people achieved their activity goals).
                 Our study of 21 long term FitBit users (average: 23
                 months, 17 over 1 year) began with an interview about
                 their use and knowledge of long term physical activity
                 data followed by a think-aloud use of iStuckWithIt and
                 a post-interview. Our participants gained new insights
                 about their wearing patterns and they could then use
                 this to overcome problems of missing data, to gain
                 insights about their physical activity and goal
                 achievement. This work makes two main contributions:
                 new understanding of the ways that long term trackers
                 have used and understand their data; the design and
                 evaluation of iStuckWithIt demonstrating that people
                 can gain new insights through designs that embed daily,
                 hourly adherence data with goal adherence.",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Trinh:2017:RRC,
  author =       "H. Trinh and R. Asadi and D. Edge and T. Bickmore",
  title =        "{RoboCOP}: a Robotic Coach for Oral Presentations",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090092",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090092",
  abstract =     "Rehearsing in front of a live audience is invaluable
                 when preparing for important presentations. However,
                 not all presenters take the opportunity to engage in
                 such rehearsal, due to time constraints, availability
                 of listeners who can provide constructive feedback, or
                 public speaking anxiety. We present RoboCOP, an
                 automated anthropomorphic robot head that acts as a
                 coach to provide spoken feedback during presentation
                 rehearsals at both the individual slide and overall
                 presentation level. The robot offers conversational
                 coaching on three key aspects of presentations: speech
                 quality, content coverage, and audience orientation.
                 The design of the feedback strategies was informed by
                 findings from an exploratory study with academic
                 professionals who were experienced in mentoring
                 students on their presentations. In a within-subjects
                 study comparing RoboCOP to visual feedback and spoken
                 feedback without a robot, the robotic coach was shown
                 to lead to significant improvement in the overall
                 experience of presenters. Results of a second
                 within-subjects evaluation study comparing RoboCOP with
                 existing rehearsal practices show that our system
                 creates a natural, interactive, and motivating
                 rehearsal environment that leads to improved
                 presentation quality.",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Weigel:2017:DDI,
  author =       "Martin Weigel and J{\"u}rgen Steimle",
  title =        "{DeformWear}: Deformation Input on Tiny Wearable
                 Devices",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090093",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090093",
  abstract =     "Due to their small surfaces, wearable devices make
                 existing techniques for touch input very challenging.
                 This paper proposes deformation input on a tiny and
                 soft surface as an input modality for wearable
                 computing devices. We introduce DeformWear, tiny
                 wearable devices that leverage single-point deformation
                 input on various body locations. Despite the small
                 input surface, DeformWear enables expressive and
                 precise input using high-resolution pressure, shear,
                 and pinch deformations. We present a first set of
                 interaction techniques for tiny deformation-sensitive
                 wearable devices. They enable fluid interaction in a
                 large input space by combining multiple dimensions of
                 deformation. We demonstrate their use in seven
                 application examples, showing DeformWear as a
                 standalone input device and as a companion device for
                 smartwatches, head-mounted displays, or headphones.
                 Results from a user study demonstrate that these tiny
                 devices allow for precise and expressive interactions
                 on many body locations, in standing and walking
                 conditions.",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Wu:2017:GPA,
  author =       "Chenshu Wu and Jingao Xu and Zheng Yang and Nicholas
                 D. Lane and Zuwei Yin",
  title =        "Gain Without Pain: Accurate {WiFi}-based Localization
                 using Fingerprint Spatial Gradient",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090094",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090094",
  abstract =     "Among numerous indoor localization systems proposed
                 during the past decades, WiFi fingerprint-based
                 localization has been one of the most attractive
                 solutions, which is known to be free of extra
                 infrastructure and specialized hardware. However,
                 current WiFi fingerprinting suffers from a pivotal
                 problem of RSS fluctuations caused by unpredictable
                 environmental dynamics. The RSS variations lead to
                 severe spatial ambiguity and temporal instability in
                 RSS fingerprinting, both impairing the location
                 accuracy. To overcome such drawbacks, we propose
                 fingerprint spatial gradient (FSG), a more stable and
                 distinctive form than RSS fingerprints, which exploits
                 the spatial relationships among the RSS fingerprints of
                 multiple neighbouring locations. As a spatially
                 relative form, FSG is more resistant to RSS
                 uncertainties. Based on the concept of FSG, we design
                 novel algorithms to construct FSG on top of a general
                 RSS fingerprint database and then propose effective FSG
                 matching methods for location estimation. Unlike
                 previous works, the resulting system, named ViVi,
                 yields performance gain without the pains of
                 introducing extra information or additional service
                 restrictions or assuming impractical RSS models.
                 Extensive experiments in different buildings
                 demonstrate that ViVi achieves great performance,
                 outperforming the best among four comparative
                 start-of-the-art approaches by 29\% in mean accuracy
                 and 19\% in 95th percentile accuracy and outweighing
                 the worst one by 39\% and 24\% respectively. We
                 envision FSG as a promising supplement and alternative
                 to existing RSS fingerprinting for future WiFi
                 localization.",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Zhang:2017:SCT,
  author =       "Cheng Zhang and Qiuyue Xue and Anandghan Waghmare and
                 Sumeet Jain and Yiming Pu and Sinan Hersek and Kent
                 Lyons and Kenneth A. Cunefare and Omer T. Inan and
                 Gregory D. Abowd",
  title =        "{SoundTrak}: Continuous {$3$D} Tracking of a Finger
                 Using Active Acoustics",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090095",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090095",
  abstract =     "The small size of wearable devices limits the
                 efficiency and scope of possible user interactions, as
                 inputs are typically constrained to two dimensions: the
                 touchscreen surface. We present SoundTrak, an active
                 acoustic sensing technique that enables a user to
                 interact with wearable devices in the surrounding 3D
                 space by continuously tracking the finger position with
                 high resolution. The user wears a ring with an embedded
                 miniature speaker sending an acoustic signal at a
                 specific frequency (e.g., 11 kHz), which is captured by
                 an array of miniature, inexpensive microphones on the
                 target wearable device. A novel algorithm is designed
                 to localize the finger's position in 3D space by
                 extracting phase information from the received acoustic
                 signals. We evaluated SoundTrak in a volume of space
                 (20cm $ \times $ 16cm $ \times $ 11cm) around a
                 smartwatch, and show an average accuracy of 1.3 cm. We
                 report on results from a Fitts' Law experiment with 10
                 participants as the evaluation of the real-time
                 prototype. We also present a set of applications which
                 are supported by this 3D input technique, and show the
                 practical challenges that need to be addressed before
                 widespread use.",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Zhao:2017:MAM,
  author =       "Nan Zhao and Asaph Azaria and Joseph A. Paradiso",
  title =        "Mediated Atmospheres: a Multimodal Mediated Work
                 Environment",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090096",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090096",
  abstract =     "Atmosphere --- the sensorial qualities of a space,
                 shaped by the composition of light, sound, objects,
                 people, etc. --- has remarkable influence on our
                 experiences and behavior. Manipulating it has been
                 shown to be powerful, affecting cognitive performance,
                 mood and even physiology, our work envisions and
                 implements a smart office prototype, capable of
                 digitally transforming its atmosphere --- creating what
                 we call Mediated Atmospheres (MA) --- using
                 computationally controlled lighting, video projection
                 and sound. Additionally, we equipped this space with a
                 modular real-time data collection infrastructure,
                 integrating a set of biosignal sensors. Through a user
                 study (N=29) we demonstrate MA's effects on occupants'
                 ability to focus and to recover from a stressful
                 situation. Our evaluation is based on subjective
                 measurements of perception, as well as objective
                 measurements, extracted from recordings of heart rate
                 variability and facial features. We compare multiple
                 signal processing approaches for quantifying changes in
                 occupant physiological state. Our findings show that MA
                 significantly \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "31",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Zhao:2017:SAC,
  author =       "Ru Zhao and Vivian Li and Hugo Barbosa and Gourab
                 Ghoshal and Mohammed Ehsan Hoque",
  title =        "Semi-Automated 8 Collaborative Online Training Module
                 for Improving Communication Skills",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "2",
  pages =        "??--??",
  month =        jun,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3090097",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:10:55 MDT 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://dl.acm.org/citation.cfm?id=3090097",
  abstract =     "This paper presents a description and evaluation of
                 the ROC Speak system, a platform that allows ubiquitous
                 access to communication skills training. ROC Speak
                 (available at rocspeak.com) enables anyone to go to a
                 website, record a video, and receive feedback on smile
                 intensity, body movement, volume modulation, filler
                 word usage, unique word usage, word cloud of the spoken
                 words, in addition to overall assessment and subjective
                 comments by peers. Peer comments are automatically
                 ranked and sorted for usefulness and sentiment (i.e.,
                 positive vs. negative). We evaluated the system with a
                 diverse group of 56 online participants for a 10-day
                 period. Participants submitted responses to career
                 oriented prompts every other day. The participants were
                 randomly split into two groups: (1) treatment --- full
                 feedback from the ROC Speak system; (2) control ---
                 written feedback from online peers. When judged by
                 peers \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "32",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
}

@Article{Nandakumar:2017:CAI,
  author =       "Rajalakshmi Nandakumar and Alex Takakuwa and Tadayoshi
                 Kohno and Shyamnath Gollakota",
  title =        "{CovertBand}: Activity Information Leakage using
                 Music",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "87:1--87:24",
  month =        "????",
  year =         "2017",
  CODEN =        "????",
  ISSN =         "????",
  bibdate =      "Fri Aug 25 15:07:55 2017",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "http://musicattacks.cs.washington.edu/activity-information-leakage.pdf",
  abstract =     "This paper contributes a novel method for low-cost,
                 covert physical sensing and, by doing so, surfaces new
                 privacy threats. We demonstrate how a smartphone and
                 portable speaker playing music with embedded, inaudible
                 signals can track multiple individuals' locations and
                 activities both within a room and through barriers in
                 2D space. We achieve this by transforming a smartphone
                 into an active sonar system that emits a combination of
                 a sonar pulse and music and listens to the reflections
                 off of humans in the environment. Our implementation,
                 CovertBand, monitors minute changes to these
                 reflections to track multiple people concurrently and
                 to recognize different types of motion, leaking
                 information about where people are in addition to what
                 they may be doing. We evaluated CovertBand by running
                 experiments in five homes in the Seattle area, showing
                 that we can localize both single and multiple
                 individuals through barriers. These tests show
                 CovertBand can track walking subjects with a mean
                 tracking error of 18 cm and subjects moving at a fixed
                 position with an accuracy of 8 cm at up to 6 m in
                 line-of-sight and 3 m through barriers. We test a
                 variety of rhythmic mot ions such as pumping arms,
                 jumping, and supine pelvic tilts in through-wall
                 scenarios and show that they produce discernibly
                 different spectrograms from walking in the acoustic
                 reflections. In tests with 33 subjects, we also show
                 that even in ideal scenarios, listeners were unlikely
                 to detect a CovertBand attack",
  acknowledgement = ack-nhfb,
  articleno =    "87",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "http://dl.acm.org/citation.cfm?id=J1566",
  keywords =     "active sonar; information leakage; motion tracking;
                 music processing",
}

@Article{Abdelrahman:2017:CHE,
  author =       "Yomna Abdelrahman and Eduardo Velloso and Tilman
                 Dingler and Albrecht Schmidt and Frank Vetere",
  title =        "Cognitive Heat: Exploring the Usage of Thermal Imaging
                 to Unobtrusively Estimate Cognitive Load",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130898",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130898",
  abstract =     "Current digital systems are largely blind to users'
                 cognitive states. Systems that adapt to users' states
                 show great potential for augmenting cognition and for
                 creating novel user experiences. However, most
                 approaches for sensing cognitive states, and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "33",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Abtahi:2017:DNM,
  author =       "Parastoo Abtahi and David Y. Zhao and Jane L. E. and
                 James A. Landay",
  title =        "Drone Near Me: Exploring Touch-Based Human-Drone
                 Interaction",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--8",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130899",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130899",
  abstract =     "Personal drones are becoming more mainstream and are
                 used for a variety of tasks, such as delivery and
                 photography. The exposed blades in conventional drones
                 raise serious safety concerns. To address this,
                 commercial drones have been moving towards a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "34",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Azimpourkivi:2017:CBT,
  author =       "Mozhgan Azimpourkivi and Umut Topkara and Bogdan
                 Carbunar",
  title =        "Camera Based Two Factor Authentication Through Mobile
                 and Wearable Devices",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--37",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3131904",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3131904",
  abstract =     "We introduce Pixie, a novel, camera based two factor
                 authentication solution for mobile and wearable
                 devices. A quick and familiar user action of snapping a
                 photo is sufficient for Pixie to simultaneously perform
                 a graphical password authentication and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "35",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Beattie:2017:EHD,
  author =       "David Beattie and Lynne Baillie and Martin Halvey",
  title =        "Exploring How Drivers Perceive Spatial Earcons in
                 Automated Vehicles",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130901",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130901",
  abstract =     "Automated vehicles seek to relieve the human driver
                 from primary driving tasks, but this substantially
                 diminishes the connection between driver and vehicle
                 compared to manual operation. At present, automated
                 vehicles lack any form of continual, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "36",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bedri:2017:EUW,
  author =       "Abdelkareem Bedri and Richard Li and Malcolm Haynes
                 and Raj Prateek Kosaraju and Ishaan Grover and
                 Temiloluwa Prioleau and Min Yan Beh and Mayank Goel and
                 Thad Starner and Gregory Abowd",
  title =        "{EarBit}: Using Wearable Sensors to Detect Eating
                 Episodes in Unconstrained Environments",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130902",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130902",
  abstract =     "Chronic and widespread diseases such as obesity,
                 diabetes, and hypercholesterolemia require patients to
                 monitor their food intake, and food journaling is
                 currently the most common method for doing so. However,
                 food journaling is subject to self-bias and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "37",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Brewer:2017:HRW,
  author =       "R. N. Brewer and M. R. Morris and S. E. Lindley",
  title =        "How to Remember What to Remember: Exploring
                 Possibilities for Digital Reminder Systems",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130903",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130903",
  abstract =     "Digital reminder systems typically use time and place
                 as triggers to remind people to perform activities. In
                 this paper, we investigate how digital reminder systems
                 could better support the process of remembering in a
                 wider range of situations. We \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "38",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Budde:2017:PSP,
  author =       "Matthias Budde and Andrea Schankin and Julien Hoffmann
                 and Marcel Danz and Till Riedel and Michael Beigl",
  title =        "Participatory Sensing or Participatory Nonsense?:
                 Mitigating the Effect of Human Error on Data Quality in
                 Citizen Science",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3131900",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3131900",
  abstract =     "Citizen Science with mobile and wearable technology
                 holds the possibility of unprecedented observation
                 systems. Experts and policy makers are torn between
                 enthusiasm and scepticism regarding the value of the
                 resulting data, as their decision making \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "39",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Carek:2017:SWC,
  author =       "Andrew M. Carek and Jordan Conant and Anirudh Joshi
                 and Hyolim Kang and Omer T. Inan",
  title =        "{SeismoWatch}: Wearable Cuffless Blood Pressure
                 Monitoring Using Pulse Transit Time",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--16",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130905",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130905",
  abstract =     "The current norm for measuring blood pressure (BP) at
                 home is using an automated BP cuff based on
                 oscillometry. Despite providing a viable and familiar
                 method of tracking BP at home, oscillometric devices
                 can be both cumbersome and inaccurate with the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "40",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2017:RMD,
  author =       "Yuanying Chen and Wei Dong and Yi Gao and Xue Liu and
                 Tao Gu",
  title =        "Rapid: a Multimodal and Device-free Approach Using
                 Noise Estimation for Robust Person Identification",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130906",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130906",
  abstract =     "Device-free human sensing is a key technology to
                 support many applications such as indoor navigation and
                 activity recognition. By exploiting WiFi signals
                 reflected by human body, there have been many
                 WiFi-based device-free human sensing applications.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "41",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chitkara:2017:DAR,
  author =       "Saksham Chitkara and Nishad Gothoskar and Suhas Harish
                 and Jason I. Hong and Yuvraj Agarwal",
  title =        "Does this App Really Need My Location?: Context-Aware
                 Privacy Management for Smartphones",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3132029",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3132029",
  abstract =     "The enormous popularity of smartphones, their rich
                 sensing capabilities, and the data they have about
                 their users have lead to millions of apps being
                 developed and used. However, these capabilities have
                 also led to numerous privacy concerns. Platform
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "42",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chong:2017:DGT,
  author =       "Eunji Chong and Katha Chanda and Zhefan Ye and Audrey
                 Southerland and Nataniel Ruiz and Rebecca M. Jones and
                 Agata Rozga and James M. Rehg",
  title =        "Detecting Gaze Towards Eyes in Natural Social
                 Interactions and Its Use in Child Assessment",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3131902",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3131902",
  abstract =     "Eye contact is a crucial element of non-verbal
                 communication that signifies interest, attention, and
                 participation in social interactions. As a result,
                 measures of eye contact arise in a variety of
                 applications such as the assessment of the social
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "43",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Clark:2017:DDA,
  author =       "Meghan Clark and Mark W. Newman and Prabal Dutta",
  title =        "Devices and Data and Agents, Oh My: How Smart Home
                 Abstractions Prime End-User Mental Models",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--26",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3132031",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3132031",
  abstract =     "With the advent of DIY smart homes and the Internet of
                 Things comes the emergence of user interfaces for
                 domestic human-building interaction. However, the
                 design trade-offs between the different representations
                 of a smart home's capabilities are still \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "44",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Clarke:2017:RCB,
  author =       "Christopher Clarke and Alessio Bellino and Augusto
                 Esteves and Hans Gellersen",
  title =        "Remote Control by Body Movement in Synchrony with
                 Orbiting Widgets: an Evaluation of {TraceMatch}",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130910",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130910",
  abstract =     "In this work we consider how users can use body
                 movement for remote control with minimal effort and
                 maximum flexibility. TraceMatch is a novel technique
                 where the interface displays available controls as
                 circular widgets with orbiting targets, and where
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "45",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Daskalova:2017:LLT,
  author =       "Nediyana Daskalova and Karthik Desingh and Alexandra
                 Papoutsaki and Diane Schulze and Han Sha and Jeff
                 Huang",
  title =        "Lessons Learned from Two Cohorts of Personal
                 Informatics Self-Experiments",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130911",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130911",
  abstract =     "Self-experiments allow people to investigate their own
                 individual outcomes from behavior change, often with
                 the aid of personal tracking devices. The challenge is
                 to design scientifically valid self-experiments that
                 can reach conclusive results. In this \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "46",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Dingler:2017:BCA,
  author =       "Tilman Dingler and Albrecht Schmidt and Tonja
                 Machulla",
  title =        "Building Cognition-Aware Systems: a Mobile Toolkit for
                 Extracting Time-of-Day Fluctuations of Cognitive
                 Performance",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--15",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3132025",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3132025",
  abstract =     "People's alertness fluctuates across the day: at some
                 times we are highly focused while at others we feel
                 unable to concentrate. So far, extracting fluctuation
                 patterns has been time and cost-intensive. Using an
                 in-the-wild approach with 12 participants,. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "47",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Doryab:2017:ICL,
  author =       "Afsaneh Doryab and Victoria Bellotti and Alaaeddine
                 Yousfi and Shuobi Wu and John M. Carroll and Anind K.
                 Dey",
  title =        "If It's Convenient: Leveraging Context in Peer-to-Peer
                 Variable Service Transaction Recommendations",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--28",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130913",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130913",
  abstract =     "Peer-to-Peer Variable Service Transaction (P2P-VST)
                 systems enable people to offer and receive help with a
                 wide range of task types. However, such services are
                 hampered by the difficulty of finding relevant and
                 convenient opportunities for transactions \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "48",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gadiraju:2017:MOC,
  author =       "Ujwal Gadiraju and Alessandro Checco and Neha Gupta
                 and Gianluca Demartini",
  title =        "Modus Operandi of Crowd Workers: The Invisible Role of
                 Microtask Work Environments",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--29",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130914",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130914",
  abstract =     "The ubiquity of the Internet and the widespread
                 proliferation of electronic devices has resulted in
                 flourishing microtask crowdsourcing marketplaces, such
                 as Amazon MTurk. An aspect that has remained largely
                 invisible in microtask crowdsourcing is that \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "49",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Georgiev:2017:LRM,
  author =       "Petko Georgiev and Sourav Bhattacharya and Nicholas D.
                 Lane and Cecilia Mascolo",
  title =        "Low-resource Multi-task Audio Sensing for Mobile and
                 Embedded Devices via Shared Deep Neural Network
                 Representations",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--19",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3131895",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3131895",
  abstract =     "Continuous audio analysis from embedded and mobile
                 devices is an increasingly important application
                 domain. More and more, appliances like the Amazon Echo,
                 along with smartphones and watches, and even research
                 prototypes seek to perform multiple \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "50",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Goncalves:2017:CCT,
  author =       "Jorge Goncalves and Simo Hosio and Niels van Berkel
                 and Furqan Ahmed and Vassilis Kostakos",
  title =        "{CrowdPickUp}: Crowdsourcing Task Pickup in the Wild",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130916",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130916",
  abstract =     "We develop and evaluate a new ubiquitous crowdsourcing
                 platform called CrowdPickUp, that combines the
                 advantages of mobile and situated crowdsourcing to
                 overcome their respective limitations. In a 19-day long
                 field study with 70 participants, we \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "51",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Goyal:2017:IIM,
  author =       "Nitesh Goyal and Susan R. Fussell",
  title =        "Intelligent Interruption Management using Electro
                 Dermal Activity based Physiological Sensor for
                 Collaborative Sensemaking",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130917",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130917",
  abstract =     "Sensemaking tasks are difficult to accomplish with
                 limited time and attentional resources because analysts
                 are faced with a constant stream of new information.
                 While this information is often important, the timing
                 of the interruptions may detract from \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "52",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Groh:2017:ASV,
  author =       "Benjamin H. Groh and Frank Warschun and Martin
                 Deininger and Thomas Kautz and Christine Martindale and
                 Bjoern M. Eskofier",
  title =        "Automated Ski Velocity and Jump Length Determination
                 in Ski Jumping Based on Unobtrusive and Wearable
                 Sensors",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--17",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130918",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130918",
  abstract =     "Although ski jumping is a widely investigated sport,
                 competitions and training sessions are rarely supported
                 by state-of-the-art technology. Supporting technologies
                 could focus on a continuous velocity determination and
                 visualization for competitions as \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "53",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gu:2017:SNI,
  author =       "Weixi Gu and Yuxun Zhou and Zimu Zhou and Xi Liu and
                 Han Zou and Pei Zhang and Costas J. Spanos and Lin
                 Zhang",
  title =        "{SugarMate}: Non-intrusive Blood Glucose Monitoring
                 with Smartphones",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130919",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130919",
  abstract =     "Inferring abnormal glucose events such as
                 hyperglycemia and hypoglycemia is crucial for the
                 health of both diabetic patients and non-diabetic
                 people. However, regular blood glucose monitoring can
                 be invasive and inconvenient in everyday life. We
                 present \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "54",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Guo:2017:CFG,
  author =       "Bin Guo and Yi Ouyang and Cheng Zhang and Jiafan Zhang
                 and Zhiwen Yu and Di Wu and Yu Wang",
  title =        "{CrowdStory}: Fine-Grained Event Storyline Generation
                 by Fusion of Multi-Modal Crowdsourced Data",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--19",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130920",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130920",
  abstract =     "Event summarization based on crowdsourced microblog
                 data is a promising research area, and several
                 researchers have recently focused on this field.
                 However, these previous works fail to characterize the
                 fine-grained evolution of an event and the rich
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "55",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ham:2017:QAF,
  author =       "Seongmin Ham and Jihyung Lee and Kyunghan Lee",
  title =        "{QuickTalk}: an Association-Free Communication Method
                 for {IoT} Devices in Proximity",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--18",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130921",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130921",
  abstract =     "IoT devices are in general considered to be
                 straightforward to use. However, we find that there are
                 a number of situations where the usability becomes
                 poor. The situations include but not limited to the
                 followings: (1) when initializing an IoT device, (2)
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "56",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hao:2017:MSB,
  author =       "Tian Hao and Chongguang Bi and Guoliang Xing and
                 Roxane Chan and Linlin Tu",
  title =        "{MindfulWatch}: a Smartwatch-Based System For
                 Real-Time Respiration Monitoring During Meditation",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--19",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130922",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130922",
  abstract =     "With a wealth of scientifically proven health
                 benefits, meditation was enjoyed by about 18 million
                 people in the U.S. alone, as of 2012. Yet, there
                 remains a stunning lack of convenient tools for
                 promoting long-term and effective meditation practice.
                 In \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "57",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Holz:2017:GCS,
  author =       "Christian Holz and Edward J. Wang",
  title =        "{Glabella}: Continuously Sensing Blood Pressure
                 Behavior using an Unobtrusive Wearable Device",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3132024",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3132024",
  abstract =     "We propose Glabella, a wearable device that
                 continuously and unobtrusively monitors heart rates at
                 three sites on the wearer's head. Our glasses prototype
                 incorporates optical sensors, processing, storage, and
                 communication components, all integrated \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "58",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hsu:2017:ZEH,
  author =       "Chen-Yu Hsu and Aayush Ahuja and Shichao Yue and Rumen
                 Hristov and Zachary Kabelac and Dina Katabi",
  title =        "Zero-Effort In-Home Sleep and Insomnia Monitoring
                 using Radio Signals",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--18",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130924",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130924",
  abstract =     "Insomnia is the most prevalent sleep disorder in the
                 US. In-home insomnia monitoring is important for both
                 diagnosis and treatment. Existing solutions, however,
                 require the user to either maintain a sleep diary or
                 wear a sensor while sleeping. Both can \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "59",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jeong:2017:SWB,
  author =       "Hayeon Jeong and Heepyung Kim and Rihun Kim and Uichin
                 Lee and Yong Jeong",
  title =        "Smartwatch Wearing Behavior Analysis: a Longitudinal
                 Study",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--31",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3131892",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3131892",
  abstract =     "Smartwaches are the representative wearable or
                 body-worn devices that provide convenient and easy
                 information access. There is a growing body of research
                 work on enabling novel interaction techniques and
                 understanding user experiences of smartwatches.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "60",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kalyanaraman:2017:FTT,
  author =       "Avinash Kalyanaraman and Dezhi Hong and Elahe
                 Soltanaghaei and Kamin Whitehouse",
  title =        "{Forma Track}: Tracking People based on Body Shape",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130926",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130926",
  abstract =     "Knowledge of a person's whereabouts in the home is key
                 to context-aware applications, but many people do not
                 want to carry or wear a tag or mobile device in the
                 home. Therefore, many tracking systems are now using
                 so-called weak biometrics such as \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "61",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Khan:2017:ARQ,
  author =       "Aftab Khan and James Nicholson and Thomas Pl{\"o}tz",
  title =        "Activity Recognition for Quality Assessment of Batting
                 Shots in Cricket using a Hierarchical Representation",
  journal =      j-IMWUT,
  volume =       "1",
  number =       "3",
  pages =        "1--31",
  month =        sep,
  year =         "2017",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3130927",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:57 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3130927",
  abstract =     "Quality assessment in cricket is a complex task that
                 is performed by understanding the combination of
                 individual activities a player is able to perform and
                 by assessing how well these activities are performed.
                 We present a framework for inexpensive and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "62",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Abdelaal:2018:CGD,
  author =       "Mohamed Abdelaal and Daniel Reichelt and Frank
                 D{\"u}rr and Kurt Rothermel and Lavinia Runceanu and
                 Susanne Becker and Dieter Fritsch",
  title =        "{ComNSense}: Grammar-Driven Crowd-Sourcing of Point
                 Clouds for Automatic Indoor Mapping",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191733",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191733",
  abstract =     "Recently, point clouds have been efficiently utilized
                 for medical imaging, modeling urban environments, and
                 indoor modeling. In this realm, several mobile
                 platforms, such as Google Tango and Apple ARKit, have
                 been released leveraging 3D mapping, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bari:2018:RMM,
  author =       "Rummana Bari and Roy J. Adams and Md. Mahbubur Rahman
                 and Megan Battles Parsons and Eugene H. Buder and
                 Santosh Kumar",
  title =        "{rConverse}: Moment by Moment Conversation Detection
                 Using a Mobile Respiration Sensor",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--27",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191734",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191734",
  abstract =     "Monitoring of in-person conversations has largely been
                 done using acoustic sensors. In this paper, we propose
                 a new method to detect moment-by-moment conversation
                 episodes by analyzing breathing patterns captured by a
                 mobile respiration sensor. Since \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chan:2018:SEE,
  author =       "Larry Chan and Vedant Das Swain and Christina Kelley
                 and Kaya de Barbaro and Gregory D. Abowd and Lauren
                 Wilcox",
  title =        "Students' Experiences with Ecological Momentary
                 Assessment Tools to Report on Emotional Well-being",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--20",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191735",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191735",
  abstract =     "Ecological Momentary Assessment (EMA) methods have
                 emerged as an approach that enhances the ecological
                 validity of data collected for the study of human
                 behavior and experience. In particular, EMA methods are
                 used to capture individuals' experiences \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chun:2018:DEE,
  author =       "Keum San Chun and Sarnab Bhattacharya and Edison
                 Thomaz",
  title =        "Detecting Eating Episodes by Tracking Jawbone
                 Movements with a Non-Contact Wearable Sensor",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191736",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191736",
  abstract =     "Eating is one of the most fundamental human
                 activities, and because of the important role it plays
                 in our lives, it has been extensively studied. However,
                 an objective and usable method for dietary intake
                 tracking remains unrealized despite numerous \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Classen:2018:AVF,
  author =       "Jiska Classen and Daniel Wegemer and Paul Patras and
                 Tom Spink and Matthias Hollick",
  title =        "Anatomy of a Vulnerable Fitness Tracking System:
                 Dissecting the {Fitbit} Cloud, App, and Firmware",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--24",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191737",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191737",
  abstract =     "Fitbit fitness trackers record sensitive personal
                 information, including daily step counts, heart rate
                 profiles, and locations visited. By design, these
                 devices gather and upload activity data to a cloud
                 service, which provides aggregate statistics to
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Clayphan:2018:CST,
  author =       "Andrew Clayphan and Anthony Collins and Judy Kay and
                 Nathan Slawitschka and Jenny Horder",
  title =        "Comparing a Single-Touch Whiteboard and a Multi-Touch
                 Tabletop for Collaboration in School Museum Visits",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--23",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191738",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191738",
  abstract =     "This paper explores two important classes of large
                 screen displays, single-touch whiteboards and
                 multi-touch tabletops, for the context of collaborative
                 learning by school groups at a museum. To do this, we
                 designed MuseWork, as a worksheet activity, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fan:2018:TAI,
  author =       "Xiaoyi Fan and Wei Gong and Jiangchuan Liu",
  title =        "{TagFree} Activity Identification with {RFIDs}",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--23",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191739",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191739",
  abstract =     "Human activity identification plays a critical role in
                 many Internet-of-Things applications, which is
                 typically achieved through attaching tracking devices,
                 e.g., RFID tags, to human bodies. The attachment can be
                 inconvenient and considered intrusive. A \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Finley:2018:MDT,
  author =       "Benjamin Finley and Tapio Soikkeli",
  title =        "Mobile Device Type Substitution",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--20",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191740",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191740",
  abstract =     "Mobile users today interact with a variety of mobile
                 device types including smartphones, tablets,
                 smartwatches, and others. However research on mobile
                 device type substitution has been limited in several
                 respects including a lack of detailed and robust
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gleason:2018:CIM,
  author =       "Cole Gleason and Dragan Ahmetovic and Saiph Savage and
                 Carlos Toxtli and Carl Posthuma and Chieko Asakawa and
                 Kris M. Kitani and Jeffrey P. Bigham",
  title =        "Crowdsourcing the Installation and Maintenance of
                 Indoor Localization Infrastructure to Support Blind
                 Navigation",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191741",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191741",
  abstract =     "Indoor navigation systems can make unfamiliar
                 buildings more accessible for people with vision
                 impairments, but their adoption is hampered by the
                 effort of installing infrastructure and maintaining it
                 over time. Most solutions in this space require
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gong:2018:SPL,
  author =       "Wei Gong and Jiangchuan Liu",
  title =        "{SiFi}: Pushing the Limit of Time-Based {WiFi}
                 Localization Using a Single Commodity Access Point",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191742",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191742",
  abstract =     "There has been a booming interest in developing WiFi
                 localization using multi-antenna (MIMO) access points
                 (APs). Recent advances have demonstrated promising
                 results that break the meter-accuracy barrier using
                 commodity APs. Yet these state-of-the-art \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Grammenos:2018:YSY,
  author =       "Andreas Grammenos and Cecilia Mascolo and Jon
                 Crowcroft",
  title =        "You Are Sensing, but Are You Biased?: a User Unaided
                 Sensor Calibration Approach for Mobile Sensing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191743",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191743",
  abstract =     "Mobile devices are becoming pervasive to our daily
                 lives: they follow us everywhere and we use them for
                 much more than just communication. These devices are
                 also equipped with a myriad of different sensors that
                 have the potential to allow the tracking \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Huang:2018:BLD,
  author =       "Chenyu Huang and Huangxun Chen and Lin Yang and Qian
                 Zhang",
  title =        "{BreathLive}: Liveness Detection for Heart Sound
                 Authentication with Deep Breathing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191744",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191744",
  abstract =     "Nowadays, considerable number of devices have been
                 proposed to monitor cardiovascular health. To protect
                 medical data on these devices from unauthorized access,
                 researchers have proposed ECG-based and heart
                 sound-based authentication methods. However, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Huynh:2018:EMM,
  author =       "Sinh Huynh and Seungmin Kim and JeongGil Ko and Rajesh
                 Krishna Balan and Youngki Lee",
  title =        "{EngageMon}: Multi-Modal Engagement Sensing for Mobile
                 Games",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--27",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191745",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191745",
  abstract =     "Understanding the engagement levels players have with
                 a game is a useful proxy for evaluating the game design
                 and user experience. This is particularly important for
                 mobile games as an alternative game is always just an
                 easy download away. However, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jiang:2018:DRB,
  author =       "Renhe Jiang and Xuan Song and Zipei Fan and Tianqi Xia
                 and Quanjun Chen and Qi Chen and Ryosuke Shibasaki",
  title =        "Deep {ROI}-Based Modeling for Urban Human Mobility
                 Prediction",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--29",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191746",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191746",
  abstract =     "Rapidly developing location acquisition technologies
                 have provided us with big GPS trajectory data, which
                 offers a new means of understanding people's daily
                 behaviors as well as urban dynamics. With such data,
                 predicting human mobility at the city level \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kamminga:2018:RSO,
  author =       "Jacob W. Kamminga and Duc V. Le and Jan Pieter Meijers
                 and Helena Bisby and Nirvana Meratnia and Paul J. M.
                 Havinga",
  title =        "Robust Sensor-Orientation-Independent Feature
                 Selection for Animal Activity Recognition on Collar
                 Tags",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--27",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191747",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191747",
  abstract =     "Fundamental challenges faced by real-time animal
                 activity recognition include variation in motion data
                 due to changing sensor orientations, numerous features,
                 and energy and processing constraints of animal tags.
                 This paper aims at finding small optimal \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kandappu:2018:OSP,
  author =       "Thivya Kandappu and Archan Misra and Shih-Fen Cheng
                 and Randy Tandriansyah and Hoong Chuin Lau",
  title =        "Obfuscation At-Source: Privacy in Context-Aware Mobile
                 Crowd-Sourcing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--24",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191748",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191748",
  abstract =     "By effectively reaching out to and engaging larger
                 population of mobile users, mobile crowd-sourcing has
                 become a strategy to perform large amount of urban
                 tasks. The recent empirical studies have shown that
                 compared to the pull-based approach, which \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kwak:2018:EEL,
  author =       "Myeongcheol Kwak and Youngmong Park and Junyoung Kim
                 and Jinyoung Han and Taekyoung Kwon",
  title =        "An Energy-efficient and Lightweight Indoor
                 Localization System for {Internet-of-Things (IoT)}
                 Environments",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--28",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191749",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191749",
  abstract =     "Each and every spatial point in an indoor space has
                 its own distinct and stable fingerprint, which arises
                 owing to the distortion of the magnetic field induced
                 by the surrounding steel and iron structures. This
                 phenomenon makes many indoor positioning \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lin:2018:CLC,
  author =       "Yuxiang Lin and Wei Dong and Yuan Chen",
  title =        "Calibrating Low-Cost Sensors by a Two-Phase Learning
                 Approach for Urban Air Quality Measurement",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--18",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191750",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191750",
  abstract =     "Urban air quality information, e.g., PM2.5
                 concentration, is of great importance to both the
                 government and society. Recently, there is a growing
                 interest in developing low-cost sensors, installed on
                 moving vehicles, for fine-grained air quality
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2018:VRU,
  author =       "Rui Liu and Cory Cornelius and Reza Rawassizadeh and
                 Ronald Peterson and David Kotz",
  title =        "Vocal Resonance: Using Internal Body Voice for
                 Wearable Authentication",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--23",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191751",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191751",
  abstract =     "We observe the advent of body-area networks of
                 pervasive wearable devices, whether for health
                 monitoring, personal assistance, entertainment, or home
                 automation. For many devices, it is critical to
                 identify the wearer, allowing sensor data to be
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2018:TEM,
  author =       "Liang Liu and Wu Liu and Yu Zheng and Huadong Ma and
                 Cheng Zhang",
  title =        "Third-Eye: a Mobilephone-Enabled Crowdsensing System
                 for Air Quality Monitoring",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191752",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191752",
  abstract =     "Air pollution has raised people's public health
                 concerns in major cities, especially for Particulate
                 Matter under 2.5 $ \mu $ m (PM2.5) due to its
                 significant impact on human respiratory and circulation
                 systems. In this paper, we present the design,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lu:2018:JMH,
  author =       "Jin Lu and Chao Shang and Chaoqun Yue and Reynaldo
                 Morillo and Shweta Ware and Jayesh Kamath and
                 Athanasios Bamis and Alexander Russell and Bing Wang
                 and Jinbo Bi",
  title =        "Joint Modeling of Heterogeneous Sensing Data for
                 Depression Assessment via Multi-task Learning",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191753",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191753",
  abstract =     "Depression is a common mood disorder that causes
                 severe medical problems and interferes negatively with
                 daily life. Identifying human behavior patterns that
                 are predictive or indicative of depressive disorder is
                 important. Clinical diagnosis of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lukoff:2018:WMS,
  author =       "Kai Lukoff and Cissy Yu and Julie Kientz and Alexis
                 Hiniker",
  title =        "What Makes Smartphone Use Meaningful or Meaningless?",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191754",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191754",
  abstract =     "Prior research indicates that many people wish to
                 limit aspects of their smartphone use. Why is it that
                 certain smartphone use feels so meaningless? We
                 examined this question by using interviews, the
                 experience sampling method, and mobile logging of 86,.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ma:2018:SSL,
  author =       "Yongsen Ma and Gang Zhou and Shuangquan Wang and
                 Hongyang Zhao and Woosub Jung",
  title =        "{SignFi}: Sign Language Recognition Using {WiFi}",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191755",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191755",
  abstract =     "We propose SignFi to recognize sign language gestures
                 using WiFi. SignFi uses Channel State Information (CSI)
                 measured by WiFi packets as the input and a
                 Convolutional Neural Network (CNN) as the
                 classification algorithm. Existing WiFi-based sign
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Maag:2018:WAE,
  author =       "Balz Maag and Zimu Zhou and Lothar Thiele",
  title =        "{W-Air}: Enabling Personal Air Pollution Monitoring on
                 Wearables",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191756",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191756",
  abstract =     "Accurate, portable and personal air pollution sensing
                 devices enable quantification of individual exposure to
                 air pollution, personalized health advice and
                 assistance applications. Wearables are promising (e.g.,
                 on wristbands, attached to belts or \ldots{})",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Montanari:2018:MIP,
  author =       "Alessandro Montanari and Zhao Tian and Elena Francu
                 and Benjamin Lucas and Brian Jones and Xia Zhou and
                 Cecilia Mascolo",
  title =        "Measuring Interaction Proxemics with Wearable Light
                 Tags",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--30",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191757",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191757",
  abstract =     "The proxemics of social interactions (e.g., body
                 distance, relative orientation) influences many aspects
                 of our everyday life: from patients' reactions to
                 interaction with physicians, successes in job
                 interviews, to effective teamwork. Traditionally,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mosenia:2018:PBP,
  author =       "Arsalan Mosenia and Jad F. Bechara and Tao Zhang and
                 Prateek Mittal and Mung Chiang",
  title =        "{ProCMotive}: Bringing Programmability and
                 Connectivity into Isolated Vehicles",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--31",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191758",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191758",
  abstract =     "In recent years, numerous vehicular technologies,
                 e.g., cruise control and steering assistant, have been
                 proposed and deployed to improve the driving
                 experience, passenger safety, and vehicle performance.
                 Despite the existence of several novel vehicular
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Nomiyama:2018:XTP,
  author =       "Masato Nomiyama and Toshiki Takeuchi and Hiroyuki
                 Onimaru and Tomohiro Tanikawa and Takuji Narumi and
                 Michitaka Hirose",
  title =        "{Xnavi}: Travel Planning System Based on Experience
                 Flows",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191759",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191759",
  abstract =     "Though an increasing number of people is now involved
                 in travel planning owing to the spread of the internet,
                 it is still difficult for travelers to plan trips on
                 their own. It is especially difficult for tourists
                 using automobiles because they have \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Paredes:2018:JBC,
  author =       "Pablo E. Paredes and Yijun Zhou and Nur Al-Huda Hamdan
                 and Stephanie Balters and Elizabeth Murnane and Wendy
                 Ju and James A. Landay",
  title =        "Just Breathe: In-Car Interventions for Guided Slow
                 Breathing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--23",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191760",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191760",
  abstract =     "Motivated by the idea that slow breathing practices
                 could transform the automobile commute from a
                 depleting, mindless activity into a calming, mindful
                 experience, we introduce the first guided slow
                 breathing intervention for drivers. We describe a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Paruthi:2018:FSS,
  author =       "Gaurav Paruthi and Shriti Raj and Natalie Colabianchi
                 and Predrag Klasnja and Mark W. Newman",
  title =        "Finding the Sweet Spot(s): Understanding Context to
                 Support Physical Activity Plans",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--17",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191761",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191761",
  abstract =     "Creating actionable plans has been shown to be helpful
                 in promoting physical activity. However, little
                 r{\`e}search has been done on how best to support the
                 creation and execution of plans. In this paper, we
                 interviewed 16 participants to study the role
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ranasinghe:2018:VLU,
  author =       "Champika Ranasinghe and Jakub Krukar and Christian
                 Kray",
  title =        "Visualizing Location Uncertainty on Mobile Devices:
                 Cross-Cultural Differences in Perceptions and
                 Preferences",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "1",
  pages =        "1--22",
  month =        mar,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3191762",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:36:59 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3191762",
  abstract =     "Location uncertainty is often ignored but a key
                 context parameter for location-based services. The
                 standard way of visualizing location uncertainty on
                 mobile devices is using a concentric circle. However,
                 the impact of different visual variables (shape,
                 \ldots{})",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ahuja:2018:EIE,
  author =       "Karan Ahuja and Rahul Islam and Varun Parashar and
                 Kuntal Dey and Chris Harrison and Mayank Goel",
  title =        "{EyeSpyVR}: Interactive Eye Sensing Using
                 Off-the-Shelf, Smartphone-Based {VR} Headsets",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--10",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214260",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214260",
  abstract =     "Low cost virtual reality (VR) headsets powered by
                 smartphones are becoming ubiquitous. Their unique
                 position on the user's face opens interesting
                 opportunities for interactive sensing. In this paper,
                 we describe EyeSpyVR, a software-only eye sensing
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "57",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Anderson:2018:SAM,
  author =       "Christoph Anderson and Isabel H{\"u}bener and
                 Ann-Kathrin Seipp and Sandra Ohly and Klaus David and
                 Veljko Pejovic",
  title =        "A Survey of Attention Management Systems in Ubiquitous
                 Computing Environments",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--27",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214261",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214261",
  abstract =     "Today's information and communication devices provide
                 always-on connectivity, instant access to an endless
                 repository of information, and represent the most
                 direct point of contact to almost any person in the
                 world. Despite these advantages, devices \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "58",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Apthorpe:2018:DSH,
  author =       "Noah Apthorpe and Yan Shvartzshnaider and Arunesh
                 Mathur and Dillon Reisman and Nick Feamster",
  title =        "Discovering Smart Home {Internet of Things} Privacy
                 Norms Using Contextual Integrity",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--23",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214262",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214262",
  abstract =     "The proliferation of Internet of Things (IoT) devices
                 for consumer {``smart''} homes raises concerns about
                 user privacy. We present a survey method based on the
                 Contextual Integrity (CI) privacy framework that can
                 quickly and efficiently discover privacy \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "59",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Arora:2018:STF,
  author =       "Nivedita Arora and Steven L. Zhang and Fereshteh
                 Shahmiri and Diego Osorio and Yi-Cheng Wang and Mohit
                 Gupta and Zhengjun Wang and Thad Starner and Zhong Lin
                 Wang and Gregory D. Abowd",
  title =        "{SATURN}: a Thin and Flexible Self-powered Microphone
                 Leveraging Triboelectric Nanogenerator",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--28",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214263",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214263",
  abstract =     "We demonstrate the design, fabrication, evaluation,
                 and use of a self-powered microphone that is thin,
                 flexible, and easily manufactured. Our technology is
                 referred to as a Self-powered Audio Triboelectric
                 Ultra-thin Rollable Nanogenerator (SATURN) \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "60",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ballagas:2018:DSP,
  author =       "Rafael Ballagas and Sarthak Ghosh and James Landay",
  title =        "The Design Space of {$3$D} Printable Interactivity",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--21",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214264",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214264",
  abstract =     "The capabilities of 3D printers are rapidly
                 progressing towards fabrication of fully interactive
                 products. For designers to reason about the best way to
                 achieve their interaction design goals, it is helpful
                 to not only know what exists in the literature,.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "61",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cao:2018:UCU,
  author =       "Hancheng Cao and Jie Feng and Yong Li and Vassilis
                 Kostakos",
  title =        "Uniqueness in the City: Urban Morphology and Location
                 Privacy",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--20",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214265",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214265",
  abstract =     "We investigate the potential for privacy leaks when
                 users reveal their nearby Points-of-Interest (POIs).
                 Specifically, we investigate whether and how a person's
                 location can be reverse-engineered when that person
                 simply reveals their nearby POI types \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "62",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cao:2018:EPC,
  author =       "Siyuan Cao and He Wang",
  title =        "Enabling Public Cameras to Talk to the Public",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--20",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214266",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214266",
  abstract =     "This paper asks: Is it possible for cameras in public
                 areas, say ceiling cameras in a museum, to send
                 personalized messages to people without knowing any
                 addresses of their phones? We define this kind of
                 problem as Private Human Addressing and develop a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "63",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Duente:2018:MMB,
  author =       "Tim Duente and Justin Schulte and Max Pfeiffer and
                 Michael Rohs",
  title =        "{MuscleIO}: Muscle-Based Input and Output for Casual
                 Notifications",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--21",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214267",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214267",
  abstract =     "Receiving and reacting to notifications on mobile
                 devices can be cumbersome. We propose MuscleIO, the use
                 of electrical muscle stimulation (EMS) for notification
                 output and electromyography (EMG) for reacting to
                 notifications. Our approach provides a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "64",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fan:2018:EBW,
  author =       "Xiaoran Fan and Han Ding and Sugang Li and Michael
                 Sanzari and Yanyong Zhang and Wade Trappe and Zhu Han
                 and Richard E. Howard",
  title =        "Energy-Ball: Wireless Power Transfer for Batteryless
                 {Internet of Things} through Distributed Beamforming",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--22",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214268",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214268",
  abstract =     "Wireless power transfer (WPT) promises to deliver
                 energy to devices that are otherwise hard to charge or
                 replace batteries for. This paper presents a new power
                 transfer approach by aligning the phases of a
                 collection of radio frequency (RF) energy \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "65",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hossain:2018:DSA,
  author =       "H. M. Sajjad Hossain and MD Abdullah {Al Haiz Khan}
                 and Nirmalya Roy",
  title =        "{DeActive}: Scaling Activity Recognition with Active
                 Deep Learning",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--23",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214269",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214269",
  abstract =     "Deep learning architectures have been applied
                 increasingly in multi-modal problems which has
                 empowered a large number of application domains needing
                 much less human supervision in the process. As
                 unlabeled data are abundant in most of the application
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "66",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hu:2018:LIP,
  author =       "Yiqing Hu and Yan Xiong and Wenchao Huang and
                 Xiang-Yang Li and Panlong Yang and Yanan Zhang and
                 Xufei Mao",
  title =        "Lightitude: Indoor Positioning Using Uneven Light
                 Intensity Distribution",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--25",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214270",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214270",
  abstract =     "In this paper, we propose an indoor positioning
                 system, Lightitude, which utilizes the already existed,
                 uneven indoor light intensity distribution established
                 by densely deployed indoor lights as the medium. As
                 common indoor lights cannot act as \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "67",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jackson:2018:APP,
  author =       "Corey Brian Jackson and Yang Wang",
  title =        "Addressing The Privacy Paradox through Personalized
                 Privacy Notifications",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--25",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214271",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214271",
  abstract =     "Privacy behaviors of individuals are often
                 inconsistent with their stated attitudes, a phenomenon
                 known as the {``privacy paradox.''} These
                 inconsistencies may lead to troublesome or regrettable
                 experiences. To help people address these privacy
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "68",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Klakegg:2018:AMM,
  author =       "Simon Klakegg and Jorge Goncalves and Chu Luo and Aku
                 Visuri and Alexey Popov and Niels van Berkel and Zhanna
                 Sarsenbayeva and Vassilis Kostakos and Simo Hosio and
                 Scott Savage and Alexander Bykov and Igor Meglinski and
                 Denzil Ferreira",
  title =        "Assisted Medication Management in Elderly Care Using
                 Miniaturised Near-Infrared Spectroscopy",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--24",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214272",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214272",
  abstract =     "Near-infrared spectroscopy (NIRS) measures the light
                 reflected from objects to infer highly detailed
                 information about their molecular composition.
                 Traditionally, NIRS has been an instrument reserved for
                 laboratory usage, but recently affordable and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "69",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kocielnik:2018:RCC,
  author =       "Rafal Kocielnik and Lillian Xiao and Daniel Avrahami
                 and Gary Hsieh",
  title =        "Reflection Companion: a Conversational System for
                 Engaging Users in Reflection on Physical Activity",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--26",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214273",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214273",
  abstract =     "Mobile, wearable and other connected devices allow
                 people to collect and explore large amounts of data
                 about their own activities, behavior, and well-being.
                 Yet, learning from-, and acting upon such data remain a
                 challenge. The process of reflection has \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "70",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kumar:2018:RFW,
  author =       "Sumeet Kumar and Hakan Erdogmus and Bob Iannucci and
                 Martin Griss and Jo{\~a}o Diogo Falc{\~a}o",
  title =        "Rethinking the Future of Wireless Emergency Alerts: a
                 Comprehensive Study of Technical and Conceptual
                 Improvements",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--33",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214274",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214274",
  abstract =     "The Wireless Emergency Alerting (WEA) service is a
                 standards-based transport and presentation channel used
                 nationwide in the United States. The service can
                 deliver short text warnings to wireless subscribers
                 through a cell broadcast mechanism. For \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "71",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Leung:2018:TTA,
  author =       "Ho-Man Colman Leung and Chi-Wing Fu and Pheng-Ann
                 Heng",
  title =        "{TwistIn}: Tangible Authentication of Smart Devices
                 via Motion Co-analysis with a Smartwatch",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--24",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214275",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214275",
  abstract =     "Smart devices contain sensitive information that has
                 to be guarded against unauthorized access through
                 authentication. Existing authentication methods become
                 obsolete as they are designed either for logging-in one
                 device at a time or are ineffective in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "72",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Parker:2018:DPS,
  author =       "Callum Parker and Martin Tomitsch and Judy Kay",
  title =        "Does the Public Still Look at Public Displays?: a
                 Field Observation of Public Displays in the Wild",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--24",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214276",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214276",
  abstract =     "Public displays are widely used for displaying
                 information in public space, such as shopping centres.
                 They are typically programmed to display advertisements
                 or general information about the space in which they
                 are situated. Due to recent advances in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "73",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Peng:2018:ADM,
  author =       "Liangying Peng and Ling Chen and Zhenan Ye and Yi
                 Zhang",
  title =        "{AROMA}: a Deep Multi-Task Learning Based Simple and
                 Complex Human Activity Recognition Method Using
                 Wearable Sensors",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--16",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214277",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214277",
  abstract =     "Human activity recognition (HAR) is a promising
                 research issue in ubiquitous and wearable computing.
                 However, there are some problems existing in
                 traditional methods: (1) They treat HAR as a single
                 label classification task, and ignore the information
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "74",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Pradhan:2018:SBA,
  author =       "Swadhin Pradhan and Ghufran Baig and Wenguang Mao and
                 Lili Qiu and Guohai Chen and Bo Yang",
  title =        "Smartphone-based Acoustic Indoor Space Mapping",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--26",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214278",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214278",
  abstract =     "Constructing a map of indoor space has many important
                 applications, such as indoor navigation, VR/AR,
                 construction, safety, facility management, and network
                 condition prediction. Existing indoor space mapping
                 requires special hardware (e.g., indoor \ldots{})",
  acknowledgement = ack-nhfb,
  articleno =    "75",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Pushp:2018:PMS,
  author =       "Saumay Pushp and Yunxin Liu and Mengwei Xu and
                 Changyoung Koh and Junehwa Song",
  title =        "{PrivacyShield}: a Mobile System for Supporting Subtle
                 Just-in-time Privacy Provisioning through
                 Off-Screen-based Touch Gestures",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--38",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214279",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214279",
  abstract =     "Current in-situ privacy solution approaches are
                 inadequate in protecting sensitive information. They
                 either require extra configuration effort or lack the
                 ability to configure user desired privacy settings.
                 Based on in-depth discussions during a design
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "76",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Qian:2018:RMB,
  author =       "Jing Qian and Arielle Chapin and Alexandra Papoutsaki
                 and Fumeng Yang and Klaas Nelissen and Jeff Huang",
  title =        "Remotion: a Motion-Based Capture and Replay Platform
                 of Mobile Device Interaction for Remote Usability
                 Testing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--18",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214280",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214280",
  abstract =     "Remotion is an end-to-end system for capturing and
                 replaying rich mobile device interactions, comprising
                 both on-screen video and physical device motions. The
                 blueprints and software provided here allow an
                 interface to be instrumented with Remotion's \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "77",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Rabbi:2018:WVR,
  author =       "Fazlay Rabbi and Taiwoo Park and Biyi Fang and Mi
                 Zhang and Youngki Lee",
  title =        "When Virtual Reality Meets {Internet of Things} in the
                 Gym: Enabling Immersive Interactive Machine Exercises",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--21",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214281",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214281",
  abstract =     "With the advent of immersive virtual reality (VR)
                 head-mounted displays (HMD), we envision that immersive
                 VR will revolutionize the personal fitness experience
                 in our daily lives. Toward this vision, we present
                 JARVIS, a virtual exercise assistant that \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "78",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ranganathan:2018:RBF,
  author =       "Vaishnavi Ranganathan and Sidhant Gupta and Jonathan
                 Lester and Joshua R. Smith and Desney Tan",
  title =        "{RF} Bandaid: a Fully-Analog and Passive Wireless
                 Interface for Wearable Sensors",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--21",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214282",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214282",
  abstract =     "This paper presents a passive wireless RF sensor
                 platform (RFSP), with only analog components, that
                 harvests energy from an RF source and reflects data as
                 a direct subcarrier modulation, thus making it battery
                 free. A fully-analog architecture results \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "79",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ruiz:2018:IRD,
  author =       "Carlos Ruiz and Shijia Pan and Adeola Bannis and
                 Xinlei Chen and Carlee Joe-Wong and Hae Young Noh and
                 Pei Zhang",
  title =        "{IDrone}: Robust Drone Identification through Motion
                 Actuation Feedback",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--22",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214283",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214283",
  abstract =     "Swarms of Unmanned Aerial Vehicles (drones) could
                 provide great benefit when used for disaster response
                 and indoor search and rescue scenarios. In these harsh
                 environments where GPS availability cannot be ensured,
                 prior work often relies on cameras for \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "80",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Salekin:2018:WSL,
  author =       "Asif Salekin and Jeremy W. Eberle and Jeffrey J. Glenn
                 and Bethany A. Teachman and John A. Stankovic",
  title =        "A Weakly Supervised Learning Framework for Detecting
                 Social Anxiety and Depression",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--26",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214284",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214284",
  abstract =     "Although social anxiety and depression are common,
                 they are often underdiagnosed and undertreated, in part
                 due to difficulties identifying and accessing
                 individuals in need of services. Current assessments
                 rely on client self-report and clinician \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "81",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Sarsenbayeva:2018:EDA,
  author =       "Zhanna Sarsenbayeva and Niels van Berkel and Eduardo
                 Velloso and Vassilis Kostakos and Jorge Goncalves",
  title =        "Effect of Distinct Ambient Noise Types on Mobile
                 Interaction",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--23",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214285",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214285",
  abstract =     "The adverse effect of ambient noise on humans has been
                 extensively studied in fields like cognitive science,
                 indicating a significant impact on cognitive
                 performance, behaviour, and emotional state.
                 Surprisingly, the effect of ambient noise has not been
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "82",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Song:2018:MSR,
  author =       "Chen Song and Zhengxiong Li and Wenyao Xu and Chi Zhou
                 and Zhanpeng Jin and Kui Ren",
  title =        "My Smartphone Recognizes Genuine {QR} Codes!:
                 Practical Unclonable {QR} Code via {$3$D} Printing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--20",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214286",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214286",
  abstract =     "Additive manufacturing, or 3D printing, has been
                 widely applied in product manufacturing. However, the
                 emerging unauthorized access of 3D printing data, as
                 well as the growth in the pervasiveness and capability
                 of 3D printing devices have raised serious \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "83",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Vasisht:2018:DEU,
  author =       "Deepak Vasisht and Anubhav Jain and Chen-Yu Hsu and
                 Zachary Kabelac and Dina Katabi",
  title =        "{Duet}: Estimating User Position and Identity in Smart
                 Homes Using Intermittent and Incomplete {RF-Data}",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--21",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214287",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214287",
  abstract =     "Although past work on RF-based indoor localization has
                 delivered important advances, it typically makes
                 assumptions that hinder its adoption in smart home
                 applications. Most localization systems assume that
                 users carry their phones on them at home, an \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "84",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2018:REH,
  author =       "Chuyu Wang and Lei Xie and Wei Wang and Yingying Chen
                 and Yanling Bu and Sanglu Lu",
  title =        "{RF-ECG}: Heart Rate Variability Assessment Based on
                 {COTS RFID} Tag Array",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--26",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214288",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214288",
  abstract =     "As an important indicator of autonomic regulation for
                 circulatory function, Heart Rate Variability (HRV) is
                 widely used for general health evaluation. Apart from
                 using dedicated devices (e.g, ECG) in a wired manner,
                 current methods search for a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "85",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yue:2018:EMP,
  author =       "Shichao Yue and Hao He and Hao Wang and Hariharan
                 Rahul and Dina Katabi",
  title =        "Extracting Multi-Person Respiration from Entangled
                 {RF} Signals",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "2",
  pages =        "1--22",
  month =        jul,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3214289",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:01 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3214289",
  abstract =     "Recent advances in wireless systems have demonstrated
                 the possibility of tracking a person's respiration
                 using the RF signals that bounce off her body. The
                 resulting breathing signal can be used to infer the
                 person's sleep quality and stages; it also \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "86",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ahmed:2018:LPC,
  author =       "Tousif Ahmed and Apu Kapadia and Venkatesh Potluri and
                 Manohar Swaminathan",
  title =        "Up to a Limit?: Privacy Concerns of Bystanders and
                 Their Willingness to Share Additional Information with
                 Visually Impaired Users of Assistive Technologies",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264899",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264899",
  abstract =     "The emergence of augmented reality and computer vision
                 based tools offer new opportunities to visually
                 impaired persons (VIPs). Solutions that help VIPs in
                 social interactions by providing information (age,
                 gender, attire, expressions etc.) about people
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "89",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Alharbi:2018:CME,
  author =       "Rawan Alharbi and Tammy Stump and Nilofar Vafaie and
                 Angela Pfammatter and Bonnie Spring and Nabil
                 Alshurafa",
  title =        "{I} Can't Be Myself: Effects of Wearable Cameras on
                 the Capture of Authentic Behavior in the Wild",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--40",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264900",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264900",
  abstract =     "Wearable sensors can provide reliable, automated
                 measures of health behaviors in free-living
                 populations. However, validation of these measures is
                 impossible without observable confirmation of
                 behaviors. Participants have expressed discomfort
                 during the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "90",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bentley:2018:ULT,
  author =       "Frank Bentley and Chris Luvogt and Max Silverman and
                 Rushani Wirasinghe and Brooke White and Danielle
                 Lottridge",
  title =        "Understanding the Long-Term Use of Smart Speaker
                 Assistants",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264901",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264901",
  abstract =     "Over the past two years the Ubicomp vision of ambient
                 voice assistants, in the form of smart speakers such as
                 the Amazon Echo and Google Home, has been integrated
                 into tens of millions of homes. However, the use of
                 these systems over time in the home \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "91",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bi:2018:ADE,
  author =       "Shengjie Bi and Tao Wang and Nicole Tobias and
                 Josephine Nordrum and Shang Wang and George Halvorsen
                 and Sougata Sen and Ronald Peterson and Kofi Odame and
                 Kelly Caine and Ryan Halter and Jacob Sorber and David
                 Kotz",
  title =        "{Auracle}: Detecting Eating Episodes with an
                 Ear-mounted Sensor",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264902",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264902",
  abstract =     "In this paper, we propose Auracle, a wearable earpiece
                 that can automatically recognize eating behavior. More
                 specifically, in free-living conditions, we can
                 recognize when and for how long a person is eating.
                 Using an off-the-shelf contact microphone \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "92",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Blalock:2018:STS,
  author =       "Davis Blalock and Samuel Madden and John Guttag",
  title =        "{Sprintz}: Time Series Compression for the {Internet
                 of Things}",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264903",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/datacompression.bib;
                 https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264903",
  abstract =     "Thanks to the rapid proliferation of connected
                 devices, sensor-generated time series constitute a
                 large and growing portion of the world's data. Often,
                 this data is collected from distributed,
                 resource-constrained devices and centralized at one or
                 more \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "93",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Boldu:2018:FDE,
  author =       "Roger Boldu and Alexandru Dancu and Denys J. C.
                 Matthies and Thisum Buddhika and Shamane Siriwardhana
                 and Suranga Nanayakkara",
  title =        "{FingerReader2.0}: Designing and Evaluating a Wearable
                 Finger-Worn Camera to Assist People with Visual
                 Impairments while Shopping",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--19",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264904",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264904",
  abstract =     "People with Visual Impairments (PVI) experience
                 greater difficulties with daily tasks, such as
                 supermarket shopping. Identifying and purchasing an
                 item proves challenging for PVI. Using a user-centered
                 design process, we understand the difficulties PVI
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "94",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Campagna:2018:CFG,
  author =       "Giovanni Campagna and Silei Xu and Rakesh Ramesh and
                 Michael Fischer and Monica S. Lam",
  title =        "Controlling Fine-Grain Sharing in Natural Language
                 with a Virtual Assistant",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--28",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264905",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264905",
  abstract =     "This paper proposes a novel approach to let consumers
                 share data from their existing web accounts and devices
                 easily, securely, and with fine granularity of control.
                 Our proposal is to have our personal virtual assistant
                 be responsible for sharing our \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "95",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Carek:2018:NCC,
  author =       "Andrew Carek and Christian Holz",
  title =        "{Naptics}: Convenient and Continuous Blood Pressure
                 Monitoring during Sleep",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264906",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264906",
  abstract =     "Normal circadian rhythm mediates blood pressure during
                 sleep, decreasing in value in healthy subjects. Current
                 methods to monitor nocturnal blood pressure use an
                 active blood pressure cuff that repeatedly
                 auto-inflates while the subject sleeps. Since
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "96",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chadalavada:2018:IIS,
  author =       "Perumal Varun Chadalavada and Goutham Palaniappan and
                 Vimal Kumar Chandran and Khai Truong and Daniel
                 Wigdor",
  title =        "{ID'em}: Inductive Sensing for Embedding and
                 Extracting Information in Robust Materials",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--28",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264907",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264907",
  abstract =     "We present ID'em, a novel tagging and localization
                 method that employs an array of Inductive Sensors to
                 'image' patterns of electrically conductive dots that
                 are embedded underneath the surfaces of materials that
                 cover the environments that we inhabit. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "97",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chang:2018:SCR,
  author =       "Liqiong Chang and Jiaqi Lu and Ju Wang and Xiaojiang
                 Chen and Dingyi Fang and Zhanyong Tang and Petteri
                 Nurmi and Zheng Wang",
  title =        "{SleepGuard}: Capturing Rich Sleep Information Using
                 Smartwatch Sensing Data",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--34",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264908",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264908",
  abstract =     "Sleep is an important part of our daily routine -- we
                 spend about one-third of our time doing it. By tracking
                 sleep-related events and activities, sleep monitoring
                 provides decision support to help us understand sleep
                 quality and causes of poor sleep. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "98",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cherian:2018:PLW,
  author =       "Jim Cherian and Jun Luo and Shen-Shyang Ho",
  title =        "{ParkLoc}: Light-weight Graph-based Vehicular
                 Localization in Parking Garages",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264909",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264909",
  abstract =     "Locating a vehicle indoors (e.g., underground parking
                 garages) has been a difficult problem to tackle, due to
                 the unavailability of GPS and/or Wi-Fi signals. Current
                 GPS-free indoor localization efforts often rely on
                 infrastructure supports such as Wi-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "99",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{DSilva:2018:RUM,
  author =       "Krittika D'Silva and Kasthuri Jayarajah and Anastasios
                 Noulas and Cecilia Mascolo and Archan Misra",
  title =        "The Role of Urban Mobility in Retail Business
                 Survival",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264910",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264910",
  abstract =     "Economic and urban planning agencies have strong
                 interest in tackling the hard problem of predicting the
                 odds of survival of individual retail businesses. In
                 this work, we tap urban mobility data available both
                 from a location-based intelligence \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "100",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Daskalova:2018:IEC,
  author =       "Nediyana Daskalova and Bongshin Lee and Jeff Huang and
                 Chester Ni and Jessica Lundin",
  title =        "Investigating the Effectiveness of Cohort-Based Sleep
                 Recommendations",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--19",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264911",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264911",
  abstract =     "Existing sleep-tracking apps and devices provide
                 simple descriptive statistics or generic
                 recommendations for everyone. In this work, we aim to
                 leverage cohort-based sleep data to provide
                 recommendations to improve an individual's sleep. We
                 report a 4-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "101",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Dementyev:2018:ERW,
  author =       "Artem Dementyev and Javier Hernandez and Inrak Choi
                 and Sean Follmer and Joseph Paradiso",
  title =        "Epidermal Robots: Wearable Sensors That Climb on the
                 Skin",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264912",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264912",
  abstract =     "Epidermal sensing has enabled significant advancements
                 towards the measurement and understanding of health.
                 Most of the existing medical instruments require direct
                 expert manipulation of a doctor, measure a single
                 parameter, and/or have limited sensing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "102",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{DiLascio:2018:UAS,
  author =       "Elena {Di Lascio} and Shkurta Gashi and Silvia
                 Santini",
  title =        "Unobtrusive Assessment of Students' Emotional
                 Engagement during Lectures Using Electrodermal Activity
                 Sensors",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264913",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264913",
  abstract =     "Modern wearable devices enable the continuous and
                 unobtrusive monitoring of human physiological
                 parameters, including heart rate and electrodermal
                 activity. Through the definition of adequate models
                 these parameters allow to infer the wellbeing,
                 empathy,. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "103",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Elbakly:2018:HRU,
  author =       "Rizanne Elbakly and Moustafa Elhamshary and Moustafa
                 Youssef",
  title =        "{HyRise}: a Robust and Ubiquitous Multi-Sensor
                 Fusion-based Floor Localization System",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264914",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264914",
  abstract =     "Floor localization is an integral part of indoor
                 localization systems that are deployed in any typical
                 high-rise building. Nevertheless, while many efforts
                 have been made to detect floor change events leveraging
                 phone-embedded sensors, there are still a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "104",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fan:2018:ODE,
  author =       "Zipei Fan and Xuan Song and Tianqi Xia and Renhe Jiang
                 and Ryosuke Shibasaki and Ritsu Sakuramachi",
  title =        "Online Deep Ensemble Learning for Predicting Citywide
                 Human Mobility",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264915",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264915",
  abstract =     "Predicting citywide human mobility is critical to an
                 effective management and regulation of city governance,
                 especially during a rare event (e.g. large event such
                 as New Year's celebration or Comiket). Classical models
                 can effectively predict routine \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "105",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fang:2018:MUP,
  author =       "Zhihan Fang and Fan Zhang and Ling Yin and Desheng
                 Zhang",
  title =        "{MultiCell}: Urban Population Modeling Based on
                 Multiple Cellphone Networks",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--25",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264916",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264916",
  abstract =     "Exploring cellphone network data has been proved to be
                 a very effective way to understand urban populations
                 because of the high penetration rate of cellphones.
                 However, the state-of-the-art population models driven
                 by cellphone data are typically built \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "106",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Feustel:2018:PLM,
  author =       "Clayton Feustel and Shyamak Aggarwal and Bongshin Lee
                 and Lauren Wilcox",
  title =        "People Like Me: Designing for Reflection on Aggregate
                 Cohort Data in Personal Informatics Systems",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264917",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264917",
  abstract =     "Increases in data complexity in personal informatics
                 systems require new ways of contextualizing personal
                 data to facilitate meaningful reflection. An emerging
                 approach for providing such context includes augmenting
                 one's personal data with the data of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "107",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2018:WSY,
  author =       "Yang Gao and Borui Li and Wei Wang and Wenyao Xu and
                 Chi Zhou and Zhanpeng Jin",
  title =        "Watching and Safeguarding Your {$3$D} Printer: Online
                 Process Monitoring Against Cyber-Physical Attacks",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264918",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264918",
  abstract =     "The increasing adoption of 3D printing in many safety
                 and mission critical applications exposes 3D printers
                 to a variety of cyber attacks that may result in
                 catastrophic consequences if the printing process is
                 compromised. For example, the mechanical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "108",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gleason:2018:FGR,
  author =       "Cole Gleason and Alexander J. Fiannaca and Melanie
                 Kneisel and Edward Cutrell and Meredith Ringel Morris",
  title =        "{FootNotes}: Geo-referenced Audio Annotations for
                 Nonvisual Exploration",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264919",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264919",
  abstract =     "The majority of information in the physical
                 environment is conveyed visually, meaning that people
                 with vision impairments often lack access to the shared
                 cultural, historical, and practical features that
                 define a city. How can someone who is blind find
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "109",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gulati:2018:CSC,
  author =       "Manoj Gulati and Farshid Salemi Parizi and Eric
                 Whitmire and Sidhant Gupta and Shobha Sundar Ram and
                 Amarjeet Singh and Shwetak N. Patel",
  title =        "{CapHarvester}: a Stick-on Capacitive Energy Harvester
                 Using Stray Electric Field from {AC} Power Lines",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264920",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264920",
  abstract =     "Internet of Things (IoT) applications and platforms
                 are becoming increasingly prevalent. Alongside this
                 growth of smart devices comes added costs for
                 deployment, maintenance, and the need to manage power
                 consumption so as to reduce recurrent costs of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "110",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Guo:2018:CAC,
  author =       "Anhong Guo and Anuraag Jain and Shomiron Ghose and
                 Gierad Laput and Chris Harrison and Jeffrey P. Bigham",
  title =        "{Crowd-AI} Camera Sensing in the Real World",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264921",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264921",
  abstract =     "Smart appliances with built-in cameras, such as the
                 Nest Cam and Amazon Echo Look, are becoming pervasive.
                 They hold the promise of bringing high fidelity,
                 contextually rich sensing into our homes, workplaces
                 and other environments. Despite recent and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "111",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Guo:2018:SQA,
  author =       "Suiming Guo and Chao Chen and Jingyuan Wang and Yaxiao
                 Liu and Ke Xu and Daqing Zhang and Dah Ming Chiu",
  title =        "A Simple but Quantifiable Approach to Dynamic Price
                 Prediction in Ride-on-demand Services Leveraging
                 Multi-source Urban Data",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264922",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264922",
  abstract =     "Ride-on-demand (RoD) services such as Uber and Didi
                 are becoming increasingly popular, and in these
                 services dynamic prices play an important role in
                 balancing the supply and demand to benefit both drivers
                 and passengers. However, dynamic prices also \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "112",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hamatani:2018:FGH,
  author =       "Takashi Hamatani and Moustafa Elhamshary and Akira
                 Uchiyama and Teruo Higashino",
  title =        "{FluidMeter}: Gauging the Human Daily Fluid Intake
                 Using Smartwatches",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--25",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264923",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264923",
  abstract =     "Water is the most vital nutrient in the human body
                 accounting for about 60\% of the body weight. To
                 maintain optimal health, it is important for humans to
                 consume a sufficient amount of fluids daily. Therefore,
                 tracking the amount of human daily fluid \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "113",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hollis:2018:BTH,
  author =       "Victoria Hollis and Alon Pekurovsky and Eunika Wu and
                 Steve Whittaker",
  title =        "On Being Told How We Feel: How Algorithmic Sensor
                 Feedback Influences Emotion Perception",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--31",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264924",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264924",
  abstract =     "Algorithms and sensors are increasingly deployed for
                 highly personal aspects of our everyday lives. Recent
                 work suggests people have imperfect understanding of
                 system outputs, often assuming sophisticated
                 capabilities and deferring to feedback. We \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "114",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hong:2018:CNI,
  author =       "Hande Hong and Girisha Durrel {De Silva} and Mun Choon
                 Chan",
  title =        "{CrowdProbe}: Non-invasive Crowd Monitoring with
                 {Wi-Fi} Probe",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264925",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264925",
  abstract =     "Devices with integrated Wi-Fi chips broadcast beacons
                 for network connection management purposes. Such
                 information can be captured with inexpensive monitors
                 and used to extract user behavior. To understand the
                 behavior of visitors, we deployed our \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "115",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kao:2018:SFS,
  author =       "Hsin-Liu Cindy Kao and Abdelkareem Bedri and Kent
                 Lyons",
  title =        "{SkinWire}: Fabricating a Self-Contained On-Skin {PCB}
                 for the Hand",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264926",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264926",
  abstract =     "Current wearable form factors often house electronics
                 using an enclosure that is attached to the body. This
                 form factor, while wearable, tends to protrude from the
                 body and therefore can limit wearability. While
                 emerging research in on-skin interfaces \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "116",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Karkar:2018:BDP,
  author =       "Ravi Karkar and Rafal Kocielnik and Xiaoyi Zhang and
                 Jasmine Zia and George N. Ioannou and Sean A. Munson
                 and James Fogarty",
  title =        "{Beacon}: Designing a Portable Device for
                 Self-Administering a Measure of Critical Flicker
                 Frequency",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264927",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264927",
  abstract =     "Critical flicker frequency (CFF) is the minimum
                 frequency at which a flickering light source appears
                 fused to an observer. Measuring CFF can support early
                 diagnosis of minimal hepatic encephalopathy (MHE), a
                 condition affecting up to 80\% of people with
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "117",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Knibbe:2018:EEM,
  author =       "J. Knibbe and A. Alsmith and K. Hornb{\ae}k",
  title =        "Experiencing Electrical Muscle Stimulation",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "3",
  pages =        "1--14",
  month =        sep,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3264928",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:04 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3264928",
  abstract =     "Electrical Muscle Stimulation (EMS) offers rich
                 opportunities for interaction. By varying stimulation
                 parameters (amplitudes, pulse widths and frequencies),
                 EMS can be used to either trigger muscle contractions,
                 and so convey object affordances or guide \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "118",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Alshurafa:2018:MAB,
  author =       "Nabil Alshurafa and Jayalakshmi Jain and Rawan Alharbi
                 and Gleb Iakovlev and Bonnie Spring and Angela
                 Pfammatter",
  title =        "Is More Always Better?: Discovering Incentivized
                 {mHealth} Intervention Engagement Related to Health
                 Behavior Trends",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--26",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287031",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287031",
  abstract =     "Behavioral medicine is devoting increasing attention
                 to the topic of participant engagement and its role in
                 effective mobile health (mHealth) behavioral
                 interventions. Several definitions of the term
                 {``engagement''} have been proposed and discussed,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "153",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ananthabhotla:2018:SRS,
  author =       "Ishwarya Ananthabhotla and Joseph A. Paradiso",
  title =        "{SoundSignaling}: Realtime, Stylistic Modification of
                 a Personal Music Corpus for Information Delivery",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287032",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287032",
  abstract =     "Drawing inspiration from the notion of cognitive
                 incongruence associated with Stroop's famous
                 experiment, from musical principles, and from the
                 observation that music consumption on an individual
                 basis is becoming increasingly ubiquitous, we present
                 the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "154",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cao:2018:AAR,
  author =       "Chu Cao and Zhenjiang Li and Pengfei Zhou and Mo Li",
  title =        "{Amateur}: Augmented Reality Based Vehicle Navigation
                 System",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287033",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287033",
  abstract =     "This paper presents Amateur, an augmented reality
                 based vehicle navigation system using commodity smart
                 phones. Amateur reads the navigation information from a
                 digital map, matches it into live road condition video
                 captured by smart phone, and directly \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "155",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cao:2018:RUS,
  author =       "Hancheng Cao and Zhilong Chen and Fengli Xu and Yong
                 Li and Vassilis Kostakos",
  title =        "Revisitation in Urban Space vs. Online: a Comparison
                 across {POIs}, {Websites}, and Smartphone Apps",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287034",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287034",
  abstract =     "We present the first large-scale analysis of POI
                 revisitation patterns, which aims to model the periodic
                 behavior in human mobility. We apply the revisitation
                 analysis technique, which has previously been used to
                 understand website revisitation, and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "156",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Centellegher:2018:MMU,
  author =       "Simone Centellegher and Giovanna Miritello and Daniel
                 Villatoro and Devyani Parameshwar and Bruno Lepri and
                 Nuria Oliver",
  title =        "Mobile Money: Understanding and Predicting its
                 Adoption and Use in a Developing Economy",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--18",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287035",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287035",
  abstract =     "Access to financial institutions is difficult in
                 developing economies and especially for the poor.
                 However, the widespread adoption of mobile phones has
                 enabled the development of mobile money systems that
                 deliver financial services through the mobile
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "157",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chauhan:2018:PCD,
  author =       "Jagmohan Chauhan and Jathushan Rajasegaran and Suranga
                 Seneviratne and Archan Misra and Aruna Seneviratne and
                 Youngki Lee",
  title =        "Performance Characterization of Deep Learning Models
                 for Breathing-based Authentication on
                 Resource-Constrained Devices",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287036",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287036",
  abstract =     "Providing secure access to smart devices such as
                 smartphones, wearables and various other IoT devices is
                 becoming increasingly important, especially as these
                 devices store a range of sensitive personal
                 information. Breathing acoustics-based \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "158",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2018:CEA,
  author =       "Huijie Chen and Fan Li and Xiaojun Hei and Yu Wang",
  title =        "{CrowdX}: Enhancing Automatic Construction of Indoor
                 Floorplan with Opportunistic Encounters",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287037",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287037",
  abstract =     "The lack of floorplan limits the spread of pervasive
                 indoor location-based services. Existing crowdsourcing
                 based approaches mostly rely on identifying, locating
                 landmarks in the environment and utilizing the spatial
                 relationship between the landmarks \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "159",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Dissanayake:2018:DDE,
  author =       "Thilina Dissanayake and Takuya Maekawa and Daichi
                 Amagata and Takahiro Hara",
  title =        "Detecting Door Events Using a Smartphone via Active
                 Sound Sensing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--26",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287038",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287038",
  abstract =     "Event detection of indoor objects, including doors,
                 has a wide variety of applications, including intruder
                 detection, HVAC control, and surveillance of
                 independently living elderly people. Hence, this has
                 been the focus of multiple research projects in
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "160",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fan:2018:WYH,
  author =       "Junjun Fan and Xiangmin Fan and Feng Tian and Yang Li
                 and Zitao Liu and Wei Sun and Hongan Wang",
  title =        "What is That in Your Hand?: Recognizing Grasped
                 Objects via Forearm Electromyography Sensing",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287039",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287039",
  abstract =     "Knowing the object in hand can offer essential
                 contextual information revealing a user's fine-grained
                 activities. In this paper, we investigate the
                 feasibility, accuracy, and robustness of recognizing
                 the uninstrumented object in a user's hand by
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "161",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fujinami:2018:PAA,
  author =       "Kaori Fujinami and Mami Kosaka and Bipin Indurkhya",
  title =        "Painting an {Apple} with an {Apple}: a Tangible
                 Tabletop Interface for Painting with Physical Objects",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287040",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287040",
  abstract =     "We introduce UnicrePaint, a digital painting system
                 that allows the user to paint with physical objects by
                 acquiring three parameters from the interacting object:
                 the form, the color pattern and the contact pressure.
                 The design of the system is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "162",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gedik:2018:DCG,
  author =       "Ekin Gedik and Hayley Hung",
  title =        "Detecting Conversing Groups Using Social Dynamics from
                 Wearable Acceleration: Group Size Awareness",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287041",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287041",
  abstract =     "In this paper, we propose a method for detecting
                 conversing groups. More specifically, we detect
                 pairwise F-formation membership using a single worn
                 accelerometer. We focus on crowded real life scenarios,
                 specifically mingling events, where groups of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "163",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gil:2018:FAE,
  author =       "Hyunjae Gil and Hongmin Kim and Ian Oakley",
  title =        "Fingers and Angles: Exploring the Comfort of Touch
                 Input on Smartwatches",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287042",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287042",
  abstract =     "Smartwatches present a unique touch input context:
                 small, fixed to one wrist and approachable from a
                 limited range of angles by the touching hand.
                 Techniques to expand their input expressivity often
                 involve variations in how a watch must be touched,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "164",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Guo:2018:DFP,
  author =       "Xiaonan Guo and Jian Liu and Cong Shi and Hongbo Liu
                 and Yingying Chen and Mooi Choo Chuah",
  title =        "Device-free Personalized Fitness Assistant Using
                 {WiFi}",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287043",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287043",
  abstract =     "There is a growing trend for people to perform regular
                 workouts in home/office environments because
                 work-at-home people or office workers can barely
                 squeeze in time to go to dedicated exercise places
                 (e.g., gym). To provide personalized fitness \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "165",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Han:2018:BEI,
  author =       "Jinsong Han and Chen Qian and Yuqin Yang and Ge Wang
                 and Han Ding and Xin Li and Kui Ren",
  title =        "{Butterfly}: Environment-Independent Physical-Layer
                 Authentication for Passive {RFID}",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287044",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287044",
  abstract =     "RFID tag authentication is challenging because most
                 commodity tags cannot run cryptographic algorithms.
                 Prior research demonstrates that physical layer
                 information based authentication is a promising
                 solution, which uses special features from the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "166",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hashem:2018:CEP,
  author =       "Tanzima Hashem and Rubaba Hasan and Flora Salim and
                 Mehnaz Tabassum Mahin",
  title =        "Crowd-enabled Processing of Trustworthy,
                 Privacy-Enhanced and Personalised Location Based
                 Services with Quality Guarantee",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--25",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287045",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287045",
  abstract =     "We propose a novel approach for enabling trustworthy,
                 privacy-enhanced and personalised location based
                 services (LBSs) that find nearby points of interests
                 (POIs) such as restaurants, ATM booths, and hospitals
                 in a crowdsourced manner. In our \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "167",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{He:2018:MVC,
  author =       "Zhiyuan He and Su Yang",
  title =        "Multi-view Commercial Hotness Prediction Using
                 Context-aware Neural Network Ensemble",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--19",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287046",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287046",
  abstract =     "Prediction over heterogeneous data attracts much
                 attention in urban computing. Recently, satellite
                 imagery provides a new chance for urban perception but
                 raises the problem of how to fuse visual and non-visual
                 features. So far, the practice is to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "168",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Iwamoto:2018:PCW,
  author =       "Eiichi Iwamoto and Masaki Matsubara and Chihiro Ota
                 and Satoshi Nakamura and Tsutomu Terada and Hiroyuki
                 Kitagawa and Atsuyuki Morishima",
  title =        "Passerby Crowdsourcing: Workers' Behavior and Data
                 Quality Management",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--20",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287047",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287047",
  abstract =     "Worker recruitment is one of the important problems in
                 crowdsourcing, and many proposals have been presented
                 for placing equipment in physical spaces for recruiting
                 workers. One of the essential challenges of the
                 approach is how to keep people attracted \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "169",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jain:2018:FCA,
  author =       "Mohit Jain and Pratyush Kumar and Ishita Bhansali and
                 Q. Vera Liao and Khai Truong and Shwetak Patel",
  title =        "{FarmChat}: a Conversational Agent to Answer {Farmer}
                 Queries",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287048",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287048",
  abstract =     "Farmers constitute 54.6\% of the Indian population,
                 but earn only 13.9\% of the national GDP. This gross
                 mismatch can be alleviated by improving farmers' access
                 to information and expert advice (e.g., knowing which
                 seeds to sow and how to treat pests can \ldots{})",
  acknowledgement = ack-nhfb,
  articleno =    "170",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jakobi:2018:ENI,
  author =       "Timo Jakobi and Gunnar Stevens and Nico Castelli and
                 Corinna Ogonowski and Florian Schaub and Nils Vindice
                 and Dave Randall and Peter Tolmie and Volker Wulf",
  title =        "Evolving Needs in {IoT} Control and Accountability: a
                 Longitudinal Study on Smart Home Intelligibility",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--28",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287049",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287049",
  abstract =     "A key issue for smart home systems is supporting
                 non-expert users in their management. Whereas feedback
                 design on use cases (such as energy feedback) have
                 gained attention, current approaches to providing
                 awareness on the system state typically provide
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "171",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jayarajah:2018:PEN,
  author =       "Kasthuri Jayarajah and Archan Misra",
  title =        "Predicting Episodes of Non-Conformant Mobility in
                 Indoor Environments",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287050",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287050",
  abstract =     "Traditional mobility prediction literature focuses
                 primarily on improved methods to extract latent
                 patterns from individual-specific movement data. When
                 such predictions are incorrect, we ascribe it to
                 'random' or 'unpredictable' changes in a user's
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "172",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jin:2018:WTC,
  author =       "Haojian Jin and Minyi Liu and Kevan Dodhia and
                 Yuanchun Li and Gaurav Srivastava and Matthew
                 Fredrikson and Yuvraj Agarwal and Jason I. Hong",
  title =        "Why Are They Collecting My Data?: Inferring the
                 Purposes of Network Traffic in Mobile Apps",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--27",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287051",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287051",
  abstract =     "Many smartphone apps collect potentially sensitive
                 personal data and send it to cloud servers. However,
                 most mobile users have a poor understanding of why
                 their data is being collected. We present MobiPurpose,
                 a novel technique that can take a network \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "173",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Khamis:2018:CCT,
  author =       "Mohamed Khamis and Ludwig Trotter and Ville
                 M{\"a}kel{\"a} and Emanuel von Zezschwitz and Jens Le
                 and Andreas Bulling and Florian Alt",
  title =        "{CueAuth}: Comparing Touch, Mid-Air Gestures, and Gaze
                 for Cue-based Authentication on Situated Displays",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287052",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287052",
  abstract =     "Secure authentication on situated displays (e.g., to
                 access sensitive information or to make purchases) is
                 becoming increasingly important. A promising approach
                 to resist shoulder surfing attacks is to employ cues
                 that users respond to while \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "174",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2018:IDI,
  author =       "Auk Kim and Woohyeok Choi and Jungmi Park and Kyeyoon
                 Kim and Uichin Lee",
  title =        "Interrupting Drivers for Interactions: Predicting
                 Opportune Moments for In-vehicle Proactive
                 Auditory-verbal Tasks",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--28",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287053",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287053",
  abstract =     "Auditory-verbal interactions with in-vehicle
                 information systems have become increasingly popular
                 for improving driver safety because they obviate the
                 need for distractive visual-manual operations. This
                 opens up new possibilities for enabling proactive
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "175",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kwon:2018:CSS,
  author =       "Hyosun Kwon and Joel E. Fischer and Martin Flintham
                 and James Colley",
  title =        "The Connected Shower: Studying Intimate Data in
                 Everyday Life",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287054",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287054",
  abstract =     "This paper presents the design and field study of the
                 Connected Shower, a bespoke IoT device that captures
                 water flow, temperature, shower-head movement, and
                 shower product weight. We deployed the device in six UK
                 homes for a week to understand the use \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "176",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2018:PPC,
  author =       "Zeshui Li and Haipeng Dai and Wei Wang and Alex X. Liu
                 and Guihai Chen",
  title =        "{PCIAS}: Precise and Contactless Measurement of
                 Instantaneous Angular Speed Using a Smartphone",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287055",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287055",
  abstract =     "Measuring Instantaneous Angular Speed (IAS) of
                 rotating objects is ubiquitous in industry and our
                 daily life. Engineers diagnose the operation condition
                 of engines with IAS. Anemometers obtain instantaneous
                 wind speed with the IAS of rotating cups. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "177",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2018:CIP,
  author =       "Tianshi Li and Yuvraj Agarwal and Jason I. Hong",
  title =        "{Coconut}: an {IDE} Plugin for Developing
                 Privacy-Friendly Apps",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--35",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287056",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287056",
  abstract =     "Although app developers are responsible for protecting
                 users' privacy, this task can be very challenging. In
                 this paper, we present Coconut, an Android Studio
                 plugin that helps developers handle privacy
                 requirements by engaging developers to think about
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "178",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liao:2018:JTT,
  author =       "Peng Liao and Walter Dempsey and Hillol Sarker and
                 Syed Monowar Hossain and Mustafa al'Absi and Predrag
                 Klasnja and Susan Murphy",
  title =        "Just-in-Time but Not Too Much: Determining Treatment
                 Timing in Mobile Health",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287057",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287057",
  abstract =     "There is a growing scientific interest in the use and
                 development of just-in-time adaptive interventions in
                 mobile health. These mobile interventions typically
                 involve treatments, such as reminders, activity
                 suggestions and motivational messages, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "179",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Maruri:2018:VSN,
  author =       "H{\'e}ctor A. Cordourier Maruri and Paulo Lopez-Meyer
                 and Jonathan Huang and Willem Marco Beltman and Lama
                 Nachman and Hong Lu",
  title =        "{V-Speech}: Noise-Robust Speech Capturing Glasses
                 Using Vibration Sensors",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287058",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287058",
  abstract =     "Smart glasses are often used in public environments or
                 industrial scenarios that are relatively noisy.
                 Background noise and sound from competing speakers
                 deteriorate voice communication or performance of
                 automatic speech recognition (ASR). Typically,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "180",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Nambi:2018:FSB,
  author =       "Akshay Uttama Nambi and Adtiya Virmani and Venkata N.
                 Padmanabhan",
  title =        "{FarSight}: a Smartphone-based Vehicle Ranging
                 System",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287059",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287059",
  abstract =     "Maintaining an adequate separation from the vehicle in
                 front is key to safe driving. While LIDAR and RADAR
                 sensors could be used for ranging, cost considerations
                 and the huge installed base of vehicles that lack these
                 sensors, especially in developing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "181",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ouyang:2018:MFP,
  author =       "Yi Ouyang and Bin Guo and Tong Guo and Longbing Cao
                 and Zhiwen Yu",
  title =        "Modeling and Forecasting the Popularity Evolution of
                 Mobile Apps: a Multivariate {Hawkes} Process Approach",
  journal =      j-IMWUT,
  volume =       "2",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2018",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3287060",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:06 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3287060",
  abstract =     "In recent years, with the rapid development of mobile
                 app ecosystem, the number and categories of mobile apps
                 have grown tremendously. However, the global prevalence
                 of mobile apps also leads to fierce competition. As a
                 result, many apps will disappear. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "182",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Akther:2019:MMM,
  author =       "Sayma Akther and Nazir Saleheen and Shahin Alan Samiei
                 and Vivek Shetty and Emre Ertin and Santosh Kumar",
  title =        "{mORAL}: an {mHealth} Model for Inferring Oral Hygiene
                 Behaviors in-the-wild Using Wrist-worn Inertial
                 Sensors",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314388",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314388",
  abstract =     "We address the open problem of reliably detecting oral
                 health behaviors passively from wrist-worn inertial
                 sensors. We present our model named mORAL (pronounced
                 em oral) for detecting brushing and flossing behaviors,
                 without the use of instrumented \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2019:DMT,
  author =       "Ling Chen and Yifang Ding and Dandan Lyu and Xiaoze
                 Liu and Hanyu Long",
  title =        "Deep Multi-Task Learning Based Urban Air Quality Index
                 Modelling",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--17",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314389",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314389",
  abstract =     "Obtaining comprehensive air quality information can
                 help protect human health from air pollution. Existing
                 spatially fine-grained estimation methods and
                 forecasting methods have the following problems: (1)
                 Only a part of data related to air quality is
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2019:YTC,
  author =       "Mingshi Chen and Panlong Yang and Jie Xiong and
                 Maotian Zhang and Youngki Lee and Chaocan Xiang and
                 Chang Tian",
  title =        "Your Table Can Be an Input Panel: Acoustic-based
                 Device-Free Interaction Recognition",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314390",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314390",
  abstract =     "This paper explores the possibility of extending the
                 input and interactions beyond the small screen of the
                 mobile device onto ad hoc adjacent surfaces, e.g., a
                 wooden tabletop with acoustic signals. While the
                 existing finger tracking approaches employ \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2019:CCA,
  author =       "Xinlei Chen and Yu Wang and Jiayou He and Shijia Pan
                 and Yong Li and Pei Zhang",
  title =        "{CAP}: Context-aware App Usage Prediction with
                 Heterogeneous Graph Embedding",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314391",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314391",
  abstract =     "Context-aware mobile application (App) usage
                 prediction benefits a variety of applications such as
                 precise bandwidth allocation, App launch acceleration,
                 etc. Prior works have explored this topic through
                 individual data profiles and contextual \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2019:UPP,
  author =       "Ying-Yu Chen and Ziyue Li and Daniela Rosner and
                 Alexis Hiniker",
  title =        "Understanding Parents' Perspectives on Mealtime
                 Technology",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--19",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314392",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314392",
  abstract =     "For young children, family meals are an enjoyable and
                 developmentally useful part of daily life. Although
                 prior work has shown that ubiquitous computing
                 solutions can enhance children's eating habits and
                 mealtime experiences in valuable ways, other work
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cheng:2019:IFC,
  author =       "Yun Cheng and Xiaoxi He and Zimu Zhou and Lothar
                 Thiele",
  title =        "{ICT}: In-field Calibration Transfer for Air Quality
                 Sensor Deployments",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--19",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314393",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314393",
  abstract =     "Recent years have witnessed a growing interest in
                 urban air pollution monitoring, where hundreds of
                 low-cost air quality sensors are deployed city-wide. To
                 guarantee data accuracy and consistency, these sensors
                 need periodic calibration after \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chung:2019:IPI,
  author =       "Chia-Fang Chung and Qiaosi Wang and Jessica Schroeder
                 and Allison Cole and Jasmine Zia and James Fogarty and
                 Sean A. Munson",
  title =        "Identifying and Planning for Individualized Change:
                 Patient-Provider Collaboration Using Lightweight Food
                 Diaries in Healthy Eating and Irritable Bowel
                 Syndrome",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--27",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314394",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314394",
  abstract =     "Identifying and planning strategies that support a
                 healthy lifestyle or manage a chronic disease often
                 require patient-provider collaboration. For example,
                 people with healthy eating goals often share everyday
                 food, exercise, or sleep data with health \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Doryab:2019:MBR,
  author =       "Afsaneh Doryab and Anind K. Dey and Grace Kao and
                 Carissa Low",
  title =        "Modeling Biobehavioral Rhythms with Passive Sensing in
                 the Wild: a Case Study to Predict Readmission Risk
                 after Pancreatic Surgery",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314395",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314395",
  abstract =     "Biobehavioral rhythms are associated with numerous
                 health and life outcomes. We study the feasibility of
                 detecting rhythms in data that is passively collected
                 from Fitbit devices and using the obtained model
                 parameters to predict readmission risk after \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Engelbrecht:2019:EIT,
  author =       "Hendrik Engelbrecht and Stephan G. Lukosch and Dragos
                 Datcu",
  title =        "Evaluating the Impact of Technology Assisted Hotspot
                 Policing on Situational Awareness and Task-Load",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--18",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314396",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314396",
  abstract =     "Everyday field work of a police officer requires the
                 perception, filtering and understanding of large
                 amounts of information in highly dynamic situations.
                 This presents opportunities for ICT to alleviate strain
                 on officers by providing adequate \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fomichev:2019:PZI,
  author =       "Mikhail Fomichev and Max Maass and Lars Almon and
                 Alejandro Molina and Matthias Hollick",
  title =        "Perils of Zero-Interaction Security in the {Internet
                 of Things}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--38",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314397",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314397",
  abstract =     "The Internet of Things (IoT) demands authentication
                 systems which can provide both security and usability.
                 Recent research utilizes the rich sensing capabilities
                 of smart devices to build security schemes operating
                 without human interaction, such as \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2019:PPC,
  author =       "Chen Gao and Chao Huang and Yue Yu and Huandong Wang
                 and Yong Li and Depeng Jin",
  title =        "Privacy-preserving Cross-domain Location
                 Recommendation",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314398",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314398",
  abstract =     "Cross-domain recommendation is a typical solution for
                 data sparsity and cold start issue in the field of
                 location recommendation. Specifically, data of an
                 auxiliary domain is leveraged to improve the
                 recommendation of the target domain. There is a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2019:TRA,
  author =       "Yan Gao and Yang Long and Yu Guan and Anna Basu and
                 Jessica Baggaley and Thomas Ploetz",
  title =        "Towards Reliable, Automated General Movement
                 Assessment for Perinatal Stroke Screening in Infants
                 Using Wearable Accelerometers",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--22",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314399",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314399",
  abstract =     "Perinatal stroke (PS) is a serious condition that, if
                 undetected and thus untreated, often leads to life-long
                 disability, in particular Cerebral Palsy (CP). In
                 clinical settings, Prechtl's General Movement
                 Assessment (GMA) can be used to classify infant
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gashi:2019:UUW,
  author =       "Shkurta Gashi and Elena {Di Lascio} and Silvia
                 Santini",
  title =        "Using Unobtrusive Wearable Sensors to Measure the
                 Physiological Synchrony Between Presenters and Audience
                 Members",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--19",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314400",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314400",
  abstract =     "The widespread adoption of mobile and wearable devices
                 enables new approaches for the unobtrusive and
                 continuous monitoring of humans' behavior,
                 physiological state, interactions and more. Within this
                 line of research, we focus on the physiological
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jain:2019:BCE,
  author =       "Milan Jain and Mridula Gupta and Amarjeet Singh and
                 Vikas Chandan",
  title =        "Beyond Control: Enabling Smart Thermostats for Leakage
                 Detection",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--21",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314401",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314401",
  abstract =     "Smart thermostats, with multiple sensory abilities,
                 are becoming pervasive and ubiquitous, in both
                 residential and commercial buildings. By analyzing
                 occupants' behavior, adjusting set temperature
                 automatically, and adapting to temporal and spatial
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ji:2019:DRL,
  author =       "Shenggong Ji and Yu Zheng and Zhaoyuan Wang and
                 Tianrui Li",
  title =        "A Deep Reinforcement Learning-Enabled Dynamic
                 Redeployment System for Mobile Ambulances",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--20",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314402",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314402",
  abstract =     "Protecting citizens' lives from emergent accidents
                 (e.g. traffic accidents) and diseases (e.g. heart
                 attack) is of vital importance in urban computing.
                 Every day many people are caught in emergent accidents
                 or diseases and thus need ambulances to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2019:GEI,
  author =       "Jaejeung Kim and Hayoung Jung and Minsam Ko and Uichin
                 Lee",
  title =        "{GoalKeeper}: Exploring Interaction Lockout Mechanisms
                 for Regulating Smartphone Use",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--29",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314403",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314403",
  abstract =     "Many people often experience difficulties in achieving
                 behavioral goals related to smartphone use. Most of
                 prior studies approached this problem with various
                 behavior change strategies such as self-reflection and
                 social support. However, little is known \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liang:2019:ABA,
  author =       "Dawei Liang and Edison Thomaz",
  title =        "Audio-Based Activities of Daily Living {(ADL)}
                 Recognition with Large-Scale Acoustic Embeddings from
                 Online Videos",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--18",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314404",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314404",
  abstract =     "Over the years, activity sensing and recognition has
                 been shown to play a key enabling role in a wide range
                 of applications, from sustainability and human-computer
                 interaction to health care. While many recognition
                 tasks have traditionally employed \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2019:ASB,
  author =       "Fannie Liu and Mario Esparza and Maria Pavlovskaia and
                 Geoff Kaufman and Laura Dabbish and Andr{\'e}s
                 Monroy-Hern{\'a}ndez",
  title =        "{Animo}: Sharing Biosignals on a Smartwatch for
                 Lightweight Social Connection",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--19",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314405",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314405",
  abstract =     "We present Animo, a smartwatch app that enables people
                 to share and view each other's biosignals. We designed
                 and engineered Animo to explore new ground for
                 smartwatch-based biosignals social computing systems:
                 identifying opportunities where these \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2019:RHJ,
  author =       "Ruibo Liu and Qijia Shao and Siqi Wang and Christina
                 Ru and Devin Balkcom and Xia Zhou",
  title =        "Reconstructing Human Joint Motion with Computational
                 Fabrics",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314406",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314406",
  abstract =     "Accurate and continuous monitoring of joint rotational
                 motion is crucial for a wide range of applications such
                 as physical rehabilitation [6, 85] and motion training
                 [22, 54, 68]. Existing motion capture systems, however,
                 either need instrumentation of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Nair:2019:UCT,
  author =       "Suraj Nair and Kiran Javkar and Jiahui Wu and Vanessa
                 Frias-Martinez",
  title =        "Understanding Cycling Trip Purpose and Route Choice
                 Using {GPS} Traces and Open Data",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314407",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314407",
  abstract =     "Many mobile applications such as Strava or Mapmyride
                 allow cyclists to collect detailed GPS traces of their
                 trips for health or route sharing purposes. However,
                 cycling GPS traces also have a lot of potential from an
                 urban planning perspective. In this \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Poyraz:2019:UBS,
  author =       "Emirhan Poyraz and Gokhan Memik",
  title =        "Using Built-In Sensors to Predict and Utilize User
                 Satisfaction for {CPU} Settings on Smartphones",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314408",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314408",
  abstract =     "Understanding user experience/satisfaction with mobile
                 systems in order to manage computational resources has
                 become a popular approach in recent years. One of the
                 key issues in this area is to gauge user satisfaction.
                 In this paper, we propose and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Raj:2019:CDC,
  author =       "Shriti Raj and Joyce M. Lee and Ashley Garrity and
                 Mark W. Newman",
  title =        "Clinical Data in Context: Towards Sensemaking Tools
                 for Interpreting Personal Health Data",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--20",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314409",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314409",
  abstract =     "Clinical data augmented with contextual data can help
                 patients with chronic conditions make sense of their
                 disease. However, existing tools do not support
                 interpretation of multiple data streams. To better
                 understand how individuals make sense of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Rostaminia:2019:WNU,
  author =       "Soha Rostaminia and Alexander Lamson and Subhransu
                 Maji and Tauhidur Rahman and Deepak Ganesan",
  title =        "{W!NCE}: Unobtrusive Sensing of Upper Facial Action
                 Units with {EOG}-based Eyewear",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--26",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314410",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314410",
  abstract =     "The ability to unobtrusively and continuously monitor
                 one's facial expressions has implications for a variety
                 of application domains ranging from affective computing
                 to health-care and the entertainment industry. The
                 standard Facial Action Coding System \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Sarsenbayeva:2019:MES,
  author =       "Zhanna Sarsenbayeva and Niels van Berkel and Danula
                 Hettiachchi and Weiwei Jiang and Tilman Dingler and
                 Eduardo Velloso and Vassilis Kostakos and Jorge
                 Goncalves",
  title =        "Measuring the Effects of Stress on Mobile
                 Interaction",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--18",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314411",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314411",
  abstract =     "Research shows that environmental factors such as
                 ambient noise and cold ambience can render users
                 situationally impaired, adversely affecting interaction
                 with mobile devices. However, an internal factor which
                 is known to negatively impact cognitive \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Tong:2019:BLB,
  author =       "Xinyu Tong and Fengyuan Zhu and Yang Wan and Xiaohua
                 Tian and Xinbing Wang",
  title =        "Batch Localization Based on {OFDMA} Backscatter",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314412",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314412",
  abstract =     "OFDMA Wi-Fi backscatter can significantly improve the
                 communication efficiency and meanwhile maintain
                 ultra-low power consumption; however, the ground-up
                 reworking on the core mechanism of traditional Wi-Fi
                 system revolutionizes the basis of many \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Tu:2019:FFC,
  author =       "Zhen Tu and Yali Fan and Yong Li and Xiang Chen and Li
                 Su and Depeng Jin",
  title =        "From Fingerprint to Footprint: Cold-start Location
                 Recommendation by Learning User Interest from App
                 Data",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--22",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314413",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314413",
  abstract =     "With increasing diversity of user interest and
                 preference, personalized location recommendation is
                 essential and beneficial to our daily life. To achieve
                 this, the most critical challenge is the cold-start
                 recommendation problem, for we cannot learn \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2019:MST,
  author =       "Huandong Wang and Yong Li and Sihan Zeng and Gang Wang
                 and Pengyu Zhang and Pan Hui and Depeng Jin",
  title =        "Modeling Spatio-Temporal App Usage for a Large User
                 Population",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--23",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314414",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314414",
  abstract =     "With the wide adoption of mobile devices, it becomes
                 increasingly important to understand how users use
                 mobile apps. Knowing when and where certain apps are
                 used is instrumental for app developers to improve app
                 usability and for Internet service \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2019:LTA,
  author =       "Xiaolei Wang and Andrea Continella and Yuexiang Yang
                 and Yongzhong He and Sencun Zhu",
  title =        "{LeakDoctor}: Toward Automatically Diagnosing Privacy
                 Leaks in Mobile Applications",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314415",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314415",
  abstract =     "With the enormous popularity of smartphones, millions
                 of mobile apps are developed to provide rich
                 functionalities for users by accessing certain personal
                 data, leading to great privacy concerns. To address
                 this problem, many approaches have been \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2019:RFC,
  author =       "Zhongqin Wang and Min Xu and Ning Ye and Ruchuan Wang
                 and Haiping Huang",
  title =        "{RF-Focus}: Computer Vision-assisted
                 Region-of-interest {RFID} Tag Recognition and
                 Localization in Multipath-prevalent Environments",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--30",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314416",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314416",
  abstract =     "Capturing RFID tags in the region of interest (ROI) is
                 challenging. Many issues, such as multipath
                 interference, frequency-dependent hardware
                 characteristics and phase periodicity, make RF phase
                 difficult to accurately indicate the tag-to-antenna
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xia:2019:RUD,
  author =       "Tong Xia and Yong Li",
  title =        "Revealing Urban Dynamics by Learning Online and
                 Offline Behaviours Together",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "1",
  pages =        "1--25",
  month =        mar,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3314417",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:08 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3314417",
  abstract =     "Urban problems and diseases accompanied by the pace of
                 urbanization have drawn attention to the importance of
                 understanding urban dynamics, while a deep and
                 comprehensive understanding is challenging due to our
                 diversified lifestyles in the modern city. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Acer:2019:SCM,
  author =       "Utku G{\"u}nay Acer and Marc van den Broeck and
                 Claudio Forlivesi and Florian Heller and Fahim Kawsar",
  title =        "Scaling Crowdsourcing with Mobile Workforce: a Case
                 Study with {Belgian} Postal Service",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--32",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328906",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328906",
  abstract =     "Traditional urban-scale crowdsourcing approaches
                 suffer from three caveats - lack of complete
                 spatiotemporal coverage, lack of accurate information
                 and lack of sustained engagement of crowd workers. In
                 this paper, we argue that these caveats can be
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "35",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Amoh:2019:ORU,
  author =       "Justice Amoh and Kofi M. Odame",
  title =        "An Optimized Recurrent Unit for Ultra-Low-Power
                 Keyword Spotting",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--17",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328907",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328907",
  abstract =     "There is growing interest in being able to run neural
                 networks on sensors, wearables and internet-of-things
                 (IoT) devices. However, the computational demands of
                 neural networks make them difficult to deploy on
                 resource-constrained edge devices. To meet \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "36",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mirjafari:2019:DHL,
  author =       "Shayan Mirjafari and Kizito Masaba and Ted Grover and
                 Weichen Wang and Pino Audia and Andrew T. Campbell and
                 Nitesh V. Chawla and Vedant Das Swain and Munmun De
                 Choudhury and Anind K. Dey and Sidney K. D'Mello and Ge
                 Gao and Julie M. Gregg and Krithika Jagannath and
                 Kaifeng Jiang and Suwen Lin and Qiang Liu and Gloria
                 Mark and Gonzalo J. Martinez and Stephen M. Mattingly
                 and Edward Moskal and Raghu Mulukutla and Subigya Nepal
                 and Kari Nies and Manikanta D. Reddy and Pablo
                 Robles-Granda and Koustuv Saha and Anusha Sirigiri and
                 Aaron Striegel",
  title =        "Differentiating Higher and Lower Job Performers in the
                 Workplace Using Mobile Sensing",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--24",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328908",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328908",
  abstract =     "Assessing performance in the workplace typically
                 relies on subjective evaluations, such as, peer
                 ratings, supervisor ratings and self assessments, which
                 are manual, burdensome and potentially biased. We use
                 objective mobile sensing data from phones, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "37",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bi:2019:RRT,
  author =       "Chongguang Bi and Guoliang Xing",
  title =        "{RAMT}: Real-time Attitude and Motion Tracking for
                 Mobile Devices in Moving Vehicle",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--21",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328909",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328909",
  abstract =     "Recently a class of new in-vehicle technologies based
                 on off-the-shelf mobile devices have been developed to
                 improve driving safety and experience. For instance,
                 wearables like the smartwatches are utilized to monitor
                 the action of the driver and detect \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "38",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Choi:2019:MSR,
  author =       "Woohyeok Choi and Sangkeun Park and Duyeon Kim and
                 Youn-kyung Lim and Uichin Lee",
  title =        "Multi-Stage Receptivity Model for Mobile Just-In-Time
                 Health Intervention",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--26",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328910",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328910",
  abstract =     "A critical aspect of mobile just-in-time (JIT) health
                 intervention is proper delivery timing, which
                 correlates with successfully promoting target
                 behaviors. Despite extensive prior studies on
                 interruptibility, however, our understanding of the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "39",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Costa:2019:BIC,
  author =       "Jean Costa and Fran{\c{c}}ois Guimbreti{\`e}re and
                 Malte F. Jung and Tanzeem Choudhury",
  title =        "{BoostMeUp}: Improving Cognitive Performance in the
                 Moment by Unobtrusively Regulating Emotions with a
                 Smartwatch",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--23",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328911",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328911",
  abstract =     "A person's emotional state can strongly influence
                 their ability to achieve optimal task performance.
                 Aiming to help individuals manage their feelings,
                 different emotion regulation technologies have been
                 proposed. However, despite the well-known \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "40",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Dong:2019:PTF,
  author =       "Wen Dong and Tong Guan and Bruno Lepri and Chunming
                 Qiao",
  title =        "{PocketCare}: Tracking the Flu with Mobile Phones
                 Using Partial Observations of Proximity and Symptoms",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--23",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328912",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328912",
  abstract =     "Mobile phones provide a powerful sensing platform that
                 researchers may adopt to understand proximity
                 interactions among people and the diffusion, through
                 these interactions, of diseases, behaviors, and
                 opinions. However, it remains a challenge to track
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "41",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fang:2019:MMI,
  author =       "Zhihan Fang and Yu Yang and Shuai Wang and Boyang Fu
                 and Zixing Song and Fan Zhang and Desheng Zhang",
  title =        "{MAC}: Measuring the Impacts of Anomalies on Travel
                 Time of Multiple Transportation Systems",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--24",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328913",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328913",
  abstract =     "Urban anomalies have a large impact on passengers'
                 travel behavior and city infrastructures, which can
                 cause uncertainty on travel time estimation.
                 Understanding the impact of urban anomalies on travel
                 time is of great value for various applications
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "42",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Feng:2019:VPL,
  author =       "Xianglong Feng and Viswanathan Swaminathan and Sheng
                 Wei",
  title =        "Viewport Prediction for Live $ 360$-Degree Mobile
                 Video Streaming Using User-Content Hybrid Motion
                 Tracking",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--22",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328914",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328914",
  abstract =     "360-degree video streaming has been gaining
                 popularities recently with the rapid growth of adopting
                 mobile head mounted display (HMD) devices in the
                 consumer video market, especially for live broadcasts.
                 The 360-degree video streaming introduces brand
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "43",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Garg:2019:UMC,
  author =       "Radhika Garg and Christopher Moreno",
  title =        "Understanding Motivators, Constraints, and Practices
                 of Sharing {Internet of Things}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--21",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328915",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328915",
  abstract =     "Smart devices such as mobile phones, tablets, and
                 smart watches are designed under the assumption that
                 they will be used by a single user. In contrast, many
                 other devices, such as smart thermostats and smart
                 speakers, are inherently sharable. This paper
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "44",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Giallanza:2019:KSM,
  author =       "Tyler Giallanza and Travis Siems and Elena Smith and
                 Erik Gabrielsen and Ian Johnson and Mitchell A.
                 Thornton and Eric C. Larson",
  title =        "Keyboard Snooping from Mobile Phone Arrays with Mixed
                 Convolutional and Recurrent Neural Networks",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--22",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328916",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328916",
  abstract =     "The ubiquity of modern smartphones, because they are
                 equipped with a wide range of sensors, poses a
                 potential security risk---malicious actors could
                 utilize these sensors to detect private information
                 such as the keystrokes a user enters on a nearby
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "45",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gullapalli:2019:BSC,
  author =       "Bhanu Teja Gullapalli and Annamalai Natarajan and
                 Gustavo A. Angarita and Robert T. Malison and Deepak
                 Ganesan and Tauhidur Rahman",
  title =        "On-body Sensing of Cocaine Craving, Euphoria and
                 Drug-Seeking Behavior Using Cardiac and Respiratory
                 Signals",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--31",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328917",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328917",
  abstract =     "Drug addiction is a chronic brain-based disorder that
                 affects a person's behavior and leads to an inability
                 to control drug usage. Ubiquitous physiological sensing
                 technologies to detect illicit drug use have been well
                 studied and understood for \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "46",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Venkatnarayan:2019:EII,
  author =       "Raghav H. Venkatnarayan and Muhammad Shahzad",
  title =        "Enhancing Indoor Inertial Odometry with {WiFi}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--27",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328918",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328918",
  abstract =     "Accurately measuring the distance traversed by a
                 subject, commonly referred to as odometry, in indoor
                 environments is of fundamental importance in many
                 applications such as augmented and virtual reality
                 tracking, indoor navigation, and robot route \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "47",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Huang:2019:AIA,
  author =       "Anna Huang and Dong Wang and Run Zhao and Qian Zhang",
  title =        "{Au-Id}: Automatic User Identification and
                 Authentication through the Motions Captured from
                 Sequential Human Activities Using {RFID}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--26",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328919",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328919",
  abstract =     "The advancements of ambient intelligence and
                 ubiquitous computing are driving the unprecedented
                 development of smart spaces where enhanced services are
                 provided based on activity recognition. Meanwhile, user
                 identification, which can enable the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "48",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Khaloo:2019:NNO,
  author =       "Pooya Khaloo and Brandon Oubre and Jeremy Yang and
                 Tauhidur Rahman and Sunghoon Ivan Lee",
  title =        "{NOSE}: a Novel Odor Sensing Engine for Ambient
                 Monitoring of the Frying Cooking Method in Kitchen
                 Environments",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--25",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328920",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328920",
  abstract =     "How we cook and prepare our food has an enormous
                 impact on our health and well-being. Specific cooking
                 methods, like deep-frying, are linked to obesity and
                 the degradation of food nutrients, which contribute to
                 various diseases and health issues. We \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "49",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Khurana:2019:DSM,
  author =       "Rushil Khurana and Mayank Goel and Kent Lyons",
  title =        "Detachable Smartwatch: More Than A Wearable",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--14",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328921",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328921",
  abstract =     "Glanceability and low access time are arguably the key
                 assets of a smartwatch. However, smartwatches are
                 currently limited to micro-interactions. They do not
                 enable complex interactions and, in general, they do
                 not afford continuous use for long. We \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "50",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2019:VTD,
  author =       "Lawrence H. Kim and Pablo Castillo and Sean Follmer
                 and Ali Israr",
  title =        "{VPS} Tactile Display: Tactile Information Transfer of
                 Vibration, Pressure, and Shear",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--17",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328922",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328922",
  abstract =     "One of the challenges in the field of haptics is to
                 provide meaningful and realistic sensations to users.
                 While most real world tactile sensations are composed
                 of multiple dimensions, most commercial product only
                 include vibration as it is the most cost \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "51",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kuzminykh:2019:HMT,
  author =       "Anastasia Kuzminykh and Edward Lank",
  title =        "How Much is Too Much?: Understanding the Information
                 Needs of Parents of Young Children",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--21",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328923",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328923",
  abstract =     "While technologies exist that are designed for parents
                 to monitor their toddlers and school-age children, the
                 actual structure and underlying mechanisms of parents
                 information needs have received only limited attention.
                 A systematic understanding of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "52",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lachand:2019:TSC,
  author =       "Valentin Lachand and Christine Michel and Aur{\'e}lien
                 Tabard",
  title =        "{Toccata}: Supporting Classroom Orchestration with
                 Activity Based Computing",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--24",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328924",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328924",
  abstract =     "We present Toccata, a system that facilitates the
                 management of rich multi-device pedagogical activities.
                 Through interviews with high school teachers, we
                 identified a set of barriers to conducting digital
                 activities in schools: set-up time, network \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "53",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Langevin:2019:PFA,
  author =       "Raina Langevin and Mohammad Rafayet Ali and Taylan Sen
                 and Christopher Snyder and Taylor Myers and E. Ray
                 Dorsey and Mohammed Ehsan Hoque",
  title =        "The {PARK} Framework for Automated Analysis of
                 {Parkinson}'s Disease Characteristics",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--22",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328925",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328925",
  abstract =     "There are about 900,000 people with Parkinson's
                 disease (PD) in the United States. Even though there
                 are benefits of early treatment, unfortunately, over
                 40\% of individuals with PD over 65 years old do not
                 see a neurologist. It is often very difficult
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "54",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Laput:2019:EES,
  author =       "Gierad Laput and Chris Harrison",
  title =        "Exploring the Efficacy of Sparse, General-Purpose
                 Sensor Constellations for Wide-Area Activity Sensing",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--19",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328926",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328926",
  abstract =     "Future smart homes, offices, stores and many other
                 environments will increasingly be monitored by
                 distributed sensors, supporting rich, context-sensitive
                 applications. There are two opposing instrumentation
                 approaches. On one end is full sensor \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "55",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liaqat:2019:WRW,
  author =       "Daniyal Liaqat and Mohamed Abdalla and Pegah
                 Abed-Esfahani and Moshe Gabel and Tatiana Son and
                 Robert Wu and Andrea Gershon and Frank Rudzicz and Eyal
                 {De Lara}",
  title =        "{WearBreathing}: Real World Respiratory Rate
                 Monitoring Using Smartwatches",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--22",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328927",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328927",
  abstract =     "Respiratory rate is a vital physiological signal that
                 may be useful for a multitude of clinical applications,
                 especially if measured in the wild rather than
                 controlled settings. In-the-wild respiratory rate
                 monitoring is currently done using dedicated \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "56",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lim:2019:HDN,
  author =       "Brian Y. Lim and Judy Kay and Weilong Liu",
  title =        "How Does a Nation Walk?: Interpreting Large-Scale Step
                 Count Activity with Weekly Streak Patterns",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--46",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328928",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328928",
  abstract =     "Activity trackers are being deployed in large-scale
                 physical activity intervention programs, but analyzing
                 their data is difficult due to the large data size and
                 complexity. As such large datasets of steps become more
                 available, it is paramount to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "57",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mukherjee:2019:MSM,
  author =       "Manideepa Mukherjee and Sana Ali Naqvi and Anushika
                 Verma and Debarka Sengupta and Aman Parnami",
  title =        "{MenstruLoss}: Sensor For Menstrual Blood Loss
                 Monitoring",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--21",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328929",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328929",
  abstract =     "Self-monitoring of menstrual blood loss volume could
                 lead to early detection of multiple gynecological
                 diseases. In this paper, we describe the development of
                 a textile-based blood volume sensor which can be
                 integrated into the sanitary napkin to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "58",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Phan:2019:DAC,
  author =       "Thanh-Trung Phan and Skanda Muralidhar and Daniel
                 Gatica-Perez",
  title =        "Drinks \& Crowds: Characterizing Alcohol Consumption
                 through Crowdsensing and Social Media",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--30",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328930",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328930",
  abstract =     "The design of computational methods to recognize
                 alcohol intake is a relevant problem in ubiquitous
                 computing. While mobile crowdsensing and social media
                 analytics are two current approaches to characterize
                 alcohol consumption in everyday life, the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "59",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Qingxin:2019:UFA,
  author =       "Xia Qingxin and Atsushi Wada and Joseph Korpela and
                 Takuya Maekawa and Yasuo Namioka",
  title =        "Unsupervised Factory Activity Recognition with
                 Wearable Sensors Using Process Instruction
                 Information",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--23",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328931",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328931",
  abstract =     "This paper presents an unsupervised method for
                 recognizing assembly work done by factory workers by
                 using wearable sensor data. Such assembly work is a
                 common part of line production systems and typically
                 involves the factory workers performing a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "60",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Saeed:2019:MTS,
  author =       "Aaqib Saeed and Tanir Ozcelebi and Johan Lukkien",
  title =        "Multi-task Self-Supervised Learning for Human Activity
                 Detection",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--30",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328932",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328932",
  abstract =     "Deep learning methods are successfully used in
                 applications pertaining to ubiquitous computing,
                 pervasive intelligence, health, and well-being.
                 Specifically, the area of human activity recognition
                 (HAR) is primarily transformed by the convolutional and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "61",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Swaminathan:2019:IOC,
  author =       "Saiganesh Swaminathan and Michael Rivera and Runchang
                 Kang and Zheng Luo and Kadri Bugra Ozutemiz and Scott
                 E. Hudson",
  title =        "Input, Output and Construction Methods for Custom
                 Fabrication of Room-Scale Deployable Pneumatic
                 Structures",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--17",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328933",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328933",
  abstract =     "In this paper, we examine the future of designing
                 room-scale deployable pneumatic structures that can be
                 fabricated with interactive capabilities and thus be
                 responsive to human input and environments. While there
                 have been recent advances in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "62",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wu:2019:SSC,
  author =       "Jason Wu and Karan Ahuja and Richard Li and Victor
                 Chen and Jeffrey Bigham",
  title =        "{ScratchThat}: Supporting Command-Agnostic Speech
                 Repair in Voice-Driven Assistants",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--17",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328934",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328934",
  abstract =     "Speech interfaces have become an increasingly popular
                 input method for smartphone-based virtual assistants,
                 smart speakers, and Internet of Things (IoT) devices.
                 While they facilitate rapid and natural interaction in
                 the form of voice commands, current \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "63",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yao:2019:ADI,
  author =       "X. Yao and T. Pl{\"o}tz and M. Johnson and K. de
                 Barbaro",
  title =        "Automated Detection of Infant Holding Using Wearable
                 Sensing: Implications for Developmental Science and
                 Intervention",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "2",
  pages =        "1--17",
  month =        jun,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3328935",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:11 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3328935",
  abstract =     "Physical contact is critical for children's physical
                 and emotional growth and well-being. Previous studies
                 of physical contact are limited to relatively short
                 periods of direct observation and self-report methods.
                 These methods limit researchers' \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "64",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Abdelrahman:2019:CAT,
  author =       "Yomna Abdelrahman and Anam Ahmad Khan and Joshua Newn
                 and Eduardo Velloso and Sherine Ashraf Safwat and James
                 Bailey and Andreas Bulling and Frank Vetere and
                 Albrecht Schmidt",
  title =        "Classifying Attention Types with Thermal Imaging and
                 Eye Tracking",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351227",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351227",
  abstract =     "Despite the importance of attention in user
                 performance, current methods for attention
                 classification do not allow to discriminate between
                 different attention types. We propose a novel method
                 that combines thermal imaging and eye tracking to
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "69",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Adaimi:2019:LAL,
  author =       "Rebecca Adaimi and Edison Thomaz",
  title =        "Leveraging Active Learning and Conditional Mutual
                 Information to Minimize Data Annotation in Human
                 Activity Recognition",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351228",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351228",
  abstract =     "A difficulty in human activity recognition (HAR) with
                 wearable sensors is the acquisition of large amounts of
                 annotated data for training models using supervised
                 learning approaches. While collecting raw sensor data
                 has been made easier with advances in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "70",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ahuja:2019:EPC,
  author =       "Karan Ahuja and Dohyun Kim and Franceska Xhakaj and
                 Virag Varga and Anne Xie and Stanley Zhang and Jay Eric
                 Townsend and Chris Harrison and Amy Ogan and Yuvraj
                 Agarwal",
  title =        "{EduSense}: Practical Classroom Sensing at Scale",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--26",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351229",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351229",
  abstract =     "Providing university teachers with high-quality
                 opportunities for professional development cannot
                 happen without data about the classroom environment.
                 Currently, the most effective mechanism is for an
                 expert to observe one or more lectures and provide
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "71",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Alharbi:2019:MMB,
  author =       "Rawan Alharbi and Mariam Tolba and Lucia C. Petito and
                 Josiah Hester and Nabil Alshurafa",
  title =        "To Mask or Not to Mask?: Balancing Privacy with Visual
                 Confirmation Utility in Activity-Oriented Wearable
                 Cameras",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--29",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351230",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351230",
  abstract =     "Activity-oriented cameras are increasingly being used
                 to provide visual confirmation of specific hand-related
                 activities in real-world settings. However, recent
                 studies have shown that bystander privacy concerns
                 limit participant willingness to wear a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "72",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Anderson:2019:MGA,
  author =       "Boyd Anderson and Mingqian Shi and Vincent Y. F. Tan
                 and Ye Wang",
  title =        "Mobile Gait Analysis Using Foot-Mounted {UWB}
                 Sensors",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351231",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351231",
  abstract =     "We demonstrate a new foot-mounted sensor system for
                 mobile gait analysis which is based on Ultra Wideband
                 (UWB) technology. Our system is wireless, inexpensive,
                 portable, and able to estimate clinical measurements
                 that are not currently available in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "73",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Axtell:2019:BRP,
  author =       "Benett Axtell and Cosmin Munteanu",
  title =        "Back to Real Pictures: a Cross-generational
                 Understanding of Users' Mental Models of Photo Cloud
                 Storage",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351232",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351232",
  abstract =     "Personal pictures storage is currently split between a
                 myriad of physical and digital tools. Cloud photo
                 storage and social networks are seeing increasing
                 adoption, and are being recommended to families
                 (especially older generations) as digital pictures
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "74",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Morshed:2019:PMI,
  author =       "Mehrab Bin Morshed and Koustuv Saha and Richard Li and
                 Sidney K. D'Mello and Munmun De Choudhury and Gregory
                 D. Abowd and Thomas Pl{\"o}tz",
  title =        "Prediction of Mood Instability with Passive Sensing",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351233",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351233",
  abstract =     "Mental health issues, which can be difficult to
                 diagnose, are a growing concern worldwide. For
                 effective care and support, early detection of
                 mood-related health concerns is of paramount
                 importance. Typically, survey based instruments
                 including \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "75",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cauchard:2019:PIP,
  author =       "Jessica R. Cauchard and Jeremy Frey and Octavia Zahrt
                 and Krister Johnson and Alia Crum and James A. Landay",
  title =        "The Positive Impact of Push vs Pull Progress Feedback:
                 a 6-week Activity Tracking Study in the Wild",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351234",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351234",
  abstract =     "Lack of physical activity has been shown to increase
                 disease and reduce life expectancy. In response, mobile
                 devices are increasingly being used to support people's
                 health and fitness by tracking physical activity. Prior
                 work shows that the type of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "76",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chan:2019:PSE,
  author =       "Samantha W. T. Chan and Thisum Buddhika and Haimo
                 Zhang and Suranga Nanayakkara",
  title =        "{ProspecFit}: In Situ Evaluation of Digital
                 Prospective Memory Training for Older Adults",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--20",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351235",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351235",
  abstract =     "Prospective Memory (PM), which involves remembering to
                 perform intended actions, is the primary source of
                 everyday memory lapses. While existing solutions mostly
                 focus on supportive memory aids and reminders, it is
                 also crucial to maintain PM functions \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "77",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2019:TED,
  author =       "Dongyao Chen and Kang G. Shin",
  title =        "{TurnsMap}: Enhancing Driving Safety at Intersections
                 with Mobile Crowdsensing and Deep Learning",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351236",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351236",
  abstract =     "Left turns are known to be one of the most dangerous
                 driving maneuvers.1 An effective way to mitigate this
                 safety risk is to install a left-turn enforcement ---
                 e.g., a protected left-turn signal or all-way stop
                 signs --- at every turn that preserves a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "78",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2019:LTC,
  author =       "Lili Chen and Jie Xiong and Xiaojiang Chen and
                 Sunghoon Ivan Lee and Daqing Zhang and Tao Yan and
                 Dingyi Fang",
  title =        "{LungTrack}: Towards Contactless and Zero Dead-Zone
                 Respiration Monitoring with Commodity {RFIDs}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351237",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351237",
  abstract =     "Respiration rate sensing plays a critical role in
                 elderly care and patient monitoring. The latest
                 research has explored the possibility of employing
                 Wi-Fi signals for respiration sensing without attaching
                 a device to the target. A critical issue with
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "79",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ding:2019:AHS,
  author =       "Feng Ding and Dong Wang and Qian Zhang and Run Zhao",
  title =        "{ASSV}: Handwritten Signature Verification Using
                 Acoustic Signals",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351238",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351238",
  abstract =     "As one kind of biological characteristics of people,
                 handwritten signature has been widely used in the
                 banking industry, government and education. Verifying
                 handwritten signatures manually causes too much human
                 cost, and its high probability of errors \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "80",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2019:EUE,
  author =       "Yang Gao and Wei Wang and Vir V. Phoha and Wei Sun and
                 Zhanpeng Jin",
  title =        "{EarEcho}: Using Ear Canal Echo for Wearable
                 Authentication",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351239",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351239",
  abstract =     "Smart wearable devices have recently become one of the
                 major technological trends and been widely adopted by
                 the general public. Wireless earphones, in particular,
                 have seen a skyrocketing growth due to its great
                 usability and convenience. With the goal \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "81",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gong:2019:KVB,
  author =       "Taesik Gong and Hyunsung Cho and Bowon Lee and Sung-Ju
                 Lee",
  title =        "{Knocker}: Vibroacoustic-based Object Recognition with
                 Smartphones",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351240",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351240",
  abstract =     "While smartphones have enriched our lives with diverse
                 applications and functionalities, the user experience
                 still often involves manual cumbersome inputs. To
                 purchase a bottle of water for instance, a user must
                 locate an e-commerce app, type the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "82",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Guo:2019:BCP,
  author =       "Anhong Guo and Ilter Canberk and Hannah Murphy and
                 Andr{\'e}s Monroy-Hern{\'a}ndez and Rajan Vaish",
  title =        "{Blocks}: Collaborative and Persistent Augmented
                 Reality Experiences",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351241",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351241",
  abstract =     "We introduce Blocks, a mobile application that enables
                 people to co-create AR structures that persist in the
                 physical environment. Using Blocks, end users can
                 collaborate synchronously or asynchronously, whether
                 they are colocated or remote. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "83",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Radu:2019:VKT,
  author =       "Valentin Radu and Maximilian Henne",
  title =        "{Vision2Sensor}: Knowledge Transfer Across Sensing
                 Modalities for Human Activity Recognition",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--21",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351242",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351242",
  abstract =     "Mobile and wearable sensing devices are pervasive,
                 coming packed with a growing number of sensors. These
                 are supposed to provide direct observations about user
                 activity and context to intelligent systems, and are
                 envisioned to be at the core of smart \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "84",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hintze:2019:CUR,
  author =       "Daniel Hintze and Matthias F{\"u}ller and Sebastian
                 Scholz and Rainhard D. Findling and Muhammad Muaaz and
                 Philipp Kapfer and Eckhard Koch and Ren{\'e}
                 Mayrhofer",
  title =        "{CORMORANT}: Ubiquitous Risk-Aware Multi-Modal
                 Biometric Authentication across Mobile Devices",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--23",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351243",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351243",
  abstract =     "People own and carry an increasing number of
                 ubiquitous mobile devices, such as smartphones,
                 tablets, and notebooks. Being small and mobile, those
                 devices have a high propensity to become lost or
                 stolen. Since mobile devices provide access to their
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "85",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Inoue:2019:IAR,
  author =       "Sozo Inoue and Paula Lago and Tahera Hossain and
                 Tittaya Mairittha and Nattaya Mairittha",
  title =        "Integrating Activity Recognition and Nursing Care
                 Records: The System, Deployment, and a Verification
                 Study",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351244",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351244",
  abstract =     "In this paper, we introduce a system of integrating
                 activity recognition and collecting nursing care
                 records at nursing care facilities as well as activity
                 labels and sensors through smartphones, and describe
                 experiments at a nursing care facility for 4 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "86",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Intarasirisawat:2019:ETM,
  author =       "Jittrapol Intarasirisawat and Chee Siang Ang and
                 Christos Efstratiou and Luke William Feidhlim Dickens
                 and Rupert Page",
  title =        "Exploring the Touch and Motion Features in Game-Based
                 Cognitive Assessments",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--25",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351245",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351245",
  abstract =     "Early detection of cognitive decline is important for
                 timely intervention and treatment strategies to prevent
                 further deterioration or development of more severe
                 cognitive impairment, as well as identify at risk
                 individuals for research. In this paper, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "87",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Khwaja:2019:MPV,
  author =       "Mohammed Khwaja and Sumer S. Vaid and Sara Zannone and
                 Gabriella M. Harari and A. Aldo Faisal and Aleksandar
                 Matic",
  title =        "Modeling Personality vs. Modeling Personalidad:
                 In-the-wild Mobile Data Analysis in Five Countries
                 Suggests Cultural Impact on Personality Models",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351246",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351246",
  abstract =     "Sensor data collected from smartphones provides the
                 possibility to passively infer a user's personality
                 traits. Such models can be used to enable technology
                 personalization, while contributing to our substantive
                 understanding of how human behavior \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "88",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kiaghadi:2019:PPS,
  author =       "Ali Kiaghadi and Seyedeh Zohreh Homayounfar and Jeremy
                 Gummeson and Trisha Andrew and Deepak Ganesan",
  title =        "{Phyjama}: Physiological Sensing via Fiber-enhanced
                 Pyjamas",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--29",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351247",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351247",
  abstract =     "Unobtrusive and continuous monitoring of cardiac and
                 respiratory rhythm, especially during sleeping, can
                 have significant clinical utility. An exciting new
                 possibility for such monitoring is the design of
                 textiles that use all-textile sensors that can
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "89",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kianpisheh:2019:FRA,
  author =       "Mohammad Kianpisheh and Franklin Mingzhe Li and Khai
                 N. Truong",
  title =        "Face Recognition Assistant for People with Visual
                 Impairments",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--24",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351248",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351248",
  abstract =     "Although there are many face recognition systems to
                 help individuals with visual impairments (VIPs)
                 recognize other people, almost all require a database
                 with the pictures and names of the people who should be
                 tracked. These solutions would not be able \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "90",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{King:2019:MSE,
  author =       "Zachary D. King and Judith Moskowitz and Begum Egilmez
                 and Shibo Zhang and Lida Zhang and Michael Bass and
                 John Rogers and Roozbeh Ghaffari and Laurie Wakschlag
                 and Nabil Alshurafa",
  title =        "{micro-Stress EMA}: a Passive Sensing Framework for
                 Detecting in-the-wild Stress in Pregnant Mothers",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351249",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351249",
  abstract =     "High levels of stress during pregnancy increase the
                 chances of having a premature or low-birthweight baby.
                 Perceived self-reported stress does not often capture
                 or align with the physiological and behavioral
                 response. But what if there was a self-report
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "91",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kwon:2019:GUE,
  author =       "Young D. Kwon and Dimitris Chatzopoulos and Ehsan ul
                 Haq and Raymond Chi-Wing Wong and Pan Hui",
  title =        "{GeoLifecycle}: User Engagement of Geographical
                 Exploration and Churn Prediction in {LBSNs}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--29",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351250",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351250",
  abstract =     "As Location-Based Social Networks (LBSNs) have become
                 widely used by users, understanding user engagement and
                 predicting user churn are essential to the
                 maintainability of the services. In this work, we
                 conduct a quantitative analysis to understand user
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "92",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lee:2019:VCS,
  author =       "Kyuin Lee and Neil Klingensmith and Suman Banerjee and
                 Younghyun Kim",
  title =        "{VoltKey}: Continuous Secret Key Generation Based on
                 Power Line Noise for Zero-Involvement Pairing and
                 Authentication",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--26",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351251",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/cryptography2010.bib;
                 https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351251",
  abstract =     "The explosive proliferation of Internet-of-Things
                 (IoT) ecosystem fuels the needs for a mechanism for the
                 user to easily and securely interconnect multiple
                 heterogeneous devices with minimal involvement.
                 However, the current paradigm of context-unaware
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "93",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lee:2019:QOT,
  author =       "Lik Hang Lee and Kit Yung Lam and Tong Li and Tristan
                 Braud and Xiang Su and Pan Hui",
  title =        "Quadmetric Optimized Thumb-to-Finger Interaction for
                 Force Assisted One-Handed Text Entry on Mobile
                 Headsets",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351252",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351252",
  abstract =     "Augmented reality head-worn computers often feature
                 small-sized touch interfaces that complicate
                 interaction with content, provide insufficient space
                 for comfortable text input, and can be awkward to use
                 in social situations. This paper presents a novel
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "94",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2019:FWC,
  author =       "Franklin Mingzhe Li and Di Laura Chen and Mingming Fan
                 and Khai N. Truong",
  title =        "{FMT}: a Wearable Camera-Based Object Tracking Memory
                 Aid for Older Adults",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--25",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351253",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351253",
  abstract =     "Older adults sometimes forget about whether or not
                 they have completed routine actions and the states of
                 objects that they have interacted with (e.g., the
                 kitchen stove is on or off). In this work, we explore
                 whether video clips captured from a body-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "95",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2019:BRC,
  author =       "Chen Liu and Jie Xiong and Lin Cai and Lin Feng and
                 Xiaojiang Chen and Dingyi Fang",
  title =        "Beyond Respiration: Contactless Sleep Sound-Activity
                 Recognition Using {RF} Signals",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351254",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351254",
  abstract =     "Sleep sound-activities including snore, cough and
                 somniloquy are closely related to sleep quality, sleep
                 disorder and even illnesses. To obtain the information
                 of these activities, current solutions either require
                 the user to wear various sensors/. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "96",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lu:2019:ISS,
  author =       "Li Lu and Jiadi Yu and Yingying Chen and Yanmin Zhu
                 and Minglu Li and Xiangyu Xu",
  title =        "{I3}: Sensing Scrolling Human-Computer Interactions
                 for Intelligent Interest Inference on Smartphones",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--22",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351255",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351255",
  abstract =     "The scrolling interaction is a pervasive
                 human-computer interaction on smartphones, which can
                 reflect intrinsic characteristics during dynamic
                 browsings. Different from extrinsic statistical
                 measures like frequency of visits and dwell time,
                 intrinsic \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "97",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Maiti:2019:LEI,
  author =       "Anindya Maiti and Murtuza Jadliwala",
  title =        "{Light Ears}: Information Leakage via Smart Lights",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "3",
  pages =        "1--27",
  month =        sep,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3351256",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:13 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3351256",
  abstract =     "Modern Internet-enabled smart lights promise energy
                 efficiency and many additional capabilities over
                 traditional lamps. However, these connected lights also
                 create a new attack surface, which can be maliciously
                 used to violate users' privacy and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "98",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Arora:2019:DED,
  author =       "Jatin Arora and Kartik Mathur and Manvi Goel and
                 Piyush Kumar and Abhijeet Mishra and Aman Parnami",
  title =        "Design and Evaluation of {DIO} Construction Toolkit
                 for Co-making Shared Constructions",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--25",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369833",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369833",
  abstract =     "We present the design and implementation of DIO, a
                 novel digital-physical construction toolkit to enable
                 constructionist learning for children from age group
                 8-12 years. The toolkit comprises of dome-shaped (D)
                 tangible modules with various attachments \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "127",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chang:2019:TET,
  author =       "Yung-Ju Chang and Chu-Yuan Yang and Ying-Hsuan Kuo and
                 Wen-Hao Cheng and Chun-Liang Yang and Fang-Yu Lin and
                 I-Hui Yeh and Chih-Kuan Hsieh and Ching-Yu Hsieh and
                 Yu-Shuen Wang",
  title =        "{Tourgether}: Exploring Tourists' Real-time Sharing of
                 Experiences as a Means of Encouraging Point-of-Interest
                 Exploration",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--25",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369832",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369832",
  abstract =     "We developed Tourgether, an app that enables tourists'
                 mutual sharing of their experiences via check-ins in
                 real time, to enhance their awareness and exploration
                 of various points of interest (POIs) in a tourism
                 region. We conducted formative studies \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "128",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Clinch:2019:SCP,
  author =       "Sarah Clinch and Mateusz Mikusz and Ivan Elhart and
                 Nigel Davies and Marc Langheinrich",
  title =        "Scheduling Content in Pervasive Display Systems",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--37",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369826",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369826",
  abstract =     "Digital displays are a ubiquitous feature of public
                 spaces; London recently deployed a whole network of new
                 displays in its Underground stations, and the screens
                 on One Time Square (New York) allow for presentation of
                 over 16,000 square feet of digital \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "129",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Swain:2019:MPC,
  author =       "Vedant Das Swain and Koustuv Saha and Hemang Rajvanshy
                 and Anusha Sirigiri and Julie M. Gregg and Suwen Lin
                 and Gonzalo J. Martinez and Stephen M. Mattingly and
                 Shayan Mirjafari and Raghu Mulukutla and Subigya Nepal
                 and Kari Nies and Manikanta D. Reddy and Pablo
                 Robles-Granda and Andrew T. Campbell and Nitesh V.
                 Chawla and Sidney D'Mello and Anind K. Dey and Kaifeng
                 Jiang and Qiang Liu and Gloria Mark and Edward Moskal
                 and Aaron Striegel and Louis Tay and Gregory D. Abowd
                 and Munmun De Choudhury",
  title =        "A Multisensor Person-Centered Approach to Understand
                 the Role of Daily Activities in Job Performance with
                 Organizational Personas",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--27",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369828",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369828",
  abstract =     "Several psychologists posit that performance is not
                 only a function of personality but also of situational
                 contexts, such as day-level activities. Yet in
                 practice, since only personality assessments are used
                 to infer job performance, they provide a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "130",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ding:2019:LHC,
  author =       "Jingtao Ding and Guanghui Yu and Yong Li and Depeng
                 Jin and Hui Gao",
  title =        "Learning from Hometown and Current City: Cross-city
                 {POI} Recommendation via Interest Drift and Transfer
                 Learning",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--28",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369822",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369822",
  abstract =     "With more and more frequent population movement
                 between different cities, like users' travel or
                 business trip, recommending personalized cross-city
                 Point-of-Interests (POIs) for these users has become an
                 important scenario of POI recommendation tasks.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "131",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fan:2019:PCA,
  author =       "Yali Fan and Zhen Tu and Yong Li and Xiang Chen and
                 Hui Gao and Lin Zhang and Li Su and Depeng Jin",
  title =        "Personalized Context-aware Collaborative Online
                 Activity Prediction",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--28",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369829",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369829",
  abstract =     "With the rapid development of Internet services and
                 mobile devices, nowadays, users can connect to online
                 services anytime and anywhere. Naturally, user's online
                 activity behavior is coupled with time and location
                 contexts and highly influenced by them. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "132",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fan:2019:DAB,
  author =       "Zipei Fan and Xuan Song and Renhe Jiang and Quanjun
                 Chen and Ryosuke Shibasaki",
  title =        "Decentralized Attention-based Personalized Human
                 Mobility Prediction",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--26",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369830",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369830",
  abstract =     "Human mobility prediction is essential to a variety of
                 human-centered computing applications achieved through
                 upgrading of location-based services (LBS) to
                 future-location-based services (FLBS). Previous studies
                 on human mobility prediction have mainly \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "133",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Haladjian:2019:WDT,
  author =       "Juan Haladjian",
  title =        "{The Wearables Development Toolkit}: an Integrated
                 Development Environment for Activity Recognition
                 Applications",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--26",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369813",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369813",
  abstract =     "Although the last two decades have seen an increasing
                 number of activity recognition applications with
                 wearable devices, there is still a lack of tools
                 specifically designed to support their development. The
                 development of activity recognition \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "134",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hautasaari:2019:VMS,
  author =       "Ari Hautasaari and Takeo Hamada and Kuntaro Ishiyama
                 and Shogo Fukushima",
  title =        "{VocaBura}: a Method for Supporting Second Language
                 Vocabulary Learning While Walking",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369824",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369824",
  abstract =     "Learning a new language is difficult and
                 time-consuming. Apart from dedicated classroom study,
                 second language (L2) learners often lack opportunities
                 to switch their attention to vocabulary learning over
                 other daily routines. In this work, we propose a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "135",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jiang:2019:PSC,
  author =       "Weiwei Jiang and Gabriele Marini and Niels van Berkel
                 and Zhanna Sarsenbayeva and Zheyu Tan and Chu Luo and
                 Xin He and Tilman Dingler and Jorge Goncalves and
                 Yoshihiro Kawahara and Vassilis Kostakos",
  title =        "Probing Sucrose Contents in Everyday Drinks Using
                 Miniaturized Near-Infrared Spectroscopy Scanners",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--25",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369834",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369834",
  abstract =     "Near-Infrared Spectroscopy (NIRS) is a non-invasive
                 sensing technique which can be used to acquire
                 information on an object's chemical composition.
                 Although NIRS is conventionally used in dedicated
                 laboratories, the recent introduction of miniaturized
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "136",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kapetanovic:2019:GOO,
  author =       "Zerina Kapetanovic and Ali Saffari and Ranveer Chandra
                 and Joshua R. Smith",
  title =        "{Glaze}: Overlaying Occupied Spectrum with Downlink
                 {IoT} Transmissions",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369825",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369825",
  abstract =     "Existing Internet of Things (IoT) solutions require
                 expensive infrastructure for sending and receiving
                 data. Emerging technologies such as ambient backscatter
                 help fill this gap by enabling uplink communication for
                 IoT devices. However, there is still \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "137",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2019:TDR,
  author =       "Yoojung Kim and Hee-Tae Jung and Joonwoo Park and
                 Yangsoo Kim and Nathan Ramasarma and Paolo Bonato and
                 Eun Kyoung Choe and Sunghoon Ivan Lee",
  title =        "Towards the Design of a Ring Sensor-based {mHealth}
                 System to Achieve Optimal Motor Function in Stroke
                 Survivors",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--26",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369817",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369817",
  abstract =     "Maximizing the motor practice in stroke survivors'
                 living environments may significantly improve the
                 functional recovery of their stroke-affected
                 upper-limb. A wearable system that can continuously
                 monitor upper-limb performance has been considered as
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "138",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2019:HCT,
  author =       "Yoonji Kim and Youngkyung Choi and Daye Kang and
                 Minkyeong Lee and Tek-Jin Nam and Andrea Bianchi",
  title =        "{HeyTeddy}: Conversational Test-Driven Development for
                 Physical Computing",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369838",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369838",
  abstract =     "Physical computing is a complex activity that consists
                 of different but tightly coupled tasks: programming and
                 assembling hardware for circuits. Prior work clearly
                 shows that this coupling is the main source of mistakes
                 that unfruitfully take a large \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "139",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kunzler:2019:ESR,
  author =       "Florian K{\"u}nzler and Varun Mishra and Jan-Niklas
                 Kramer and David Kotz and Elgar Fleisch and Tobias
                 Kowatsch",
  title =        "Exploring the State-of-Receptivity for {mHealth}
                 Interventions",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--27",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369805",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369805",
  abstract =     "Recent advancements in sensing techniques for mHealth
                 applications have led to successful development and
                 deployments of several mHealth intervention designs,
                 including Just-In-Time Adaptive Interventions (JITAI).
                 JITAIs show great potential because \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "140",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lee:2019:ILD,
  author =       "Seulki Lee and Bashima Islam and Yubo Luo and Shahriar
                 Nirjon",
  title =        "Intermittent Learning: On-Device Machine Learning on
                 Intermittently Powered System",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--30",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369837",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369837",
  abstract =     "This paper introduces intermittent learning --- the
                 goal of which is to enable energy harvested computing
                 platforms capable of executing certain classes of
                 machine learning tasks effectively and efficiently. We
                 identify unique challenges to intermittent \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "141",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2019:DDB,
  author =       "Songyuan Li and Shibo He and Shuai Wang and Tian He
                 and Jiming Chen",
  title =        "Data-Driven Battery-Lifetime-Aware Scheduling for
                 Electric Bus Fleets",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369810",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369810",
  abstract =     "Electric vehicles (EVs) have experienced a sensational
                 growth in the past few years, due to the potential of
                 mitigating global warming and energy scarcity problems.
                 However, the high manufacturing cost of battery packs
                 and limited battery lifetime \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "142",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lindquist:2019:MMA,
  author =       "Wyatt Lindquist and Sumi Helal and Ahmed Khaled and
                 Gerald Kotonya and Jaejoon Lee",
  title =        "{MAAT}: Mobile Apps As Things in the {IoT}",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369823",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369823",
  abstract =     "As the Internet of Things (IoT) proliferates, the
                 potential for its opportunistic interaction with
                 traditional mobile apps becomes apparent. We argue that
                 to fully take advantage of this potential, mobile apps
                 must become things themselves, and interact \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "143",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2019:PAN,
  author =       "Sicong Liu and Junzhao Du and Anshumali Shrivastava
                 and Lin Zhong",
  title =        "Privacy Adversarial Network: Representation Learning
                 for Mobile Data Privacy",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--18",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369816",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369816",
  abstract =     "The remarkable success of machine learning has
                 fostered a growing number of cloud-based intelligent
                 services for mobile users. Such a service requires a
                 user to send data, e.g. image, voice and video, to the
                 provider, which presents a serious challenge \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "144",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2019:MLP,
  author =       "Tony Liu and Jennifer Nicholas and Max M. Theilig and
                 Sharath C. Guntuku and Konrad Kording and David C. Mohr
                 and Lyle Ungar",
  title =        "Machine Learning for Phone-Based Relationship
                 Estimation: The Need to Consider Population
                 Heterogeneity",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369820",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369820",
  abstract =     "Estimating the category and quality of interpersonal
                 relationships from ubiquitous phone sensor data matters
                 for studying mental well-being and social support.
                 Prior work focused on using communication volume to
                 estimate broad relationship categories, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "145",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mai:2019:DMA,
  author =       "Christian Mai and Niklas Thiem and Heinrich Hussmann",
  title =        "{DrawingPresence}: a Method for Assessing Temporal
                 Fluctuations of Presence Status in a {VR} Experience",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369827",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369827",
  abstract =     "One of the main measures to evaluate a head-mounted
                 display (HMD) based experience is the state of feeling
                 present in virtual reality (VR). The detection of
                 disturbances of such an experience that occur over
                 time, namely breaks in presence (BIP), \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "146",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mendel:2019:MMW,
  author =       "Tamir Mendel and Eran Toch",
  title =        "My {Mom} was Getting this Popup: Understanding
                 Motivations and Processes in Helping Older Relatives
                 with Mobile Security and Privacy",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--20",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369821",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369821",
  abstract =     "Security and privacy pose a serious barrier to the use
                 of mobile technology by older adults. While support
                 from family and friends is known to be an effective
                 enabler in older adults' technology adoption, we know
                 very little about the family members' \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "147",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Qin:2019:CDA,
  author =       "Xin Qin and Yiqiang Chen and Jindong Wang and Chaohui
                 Yu",
  title =        "Cross-Dataset Activity Recognition via Adaptive
                 Spatial-Temporal Transfer Learning",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--25",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369818",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369818",
  abstract =     "Human activity recognition (HAR) aims at recognizing
                 activities by training models on the large quantity of
                 sensor data. Since it is time-consuming and expensive
                 to acquire abundant labeled data, transfer learning
                 becomes necessary for HAR by \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "148",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Rabbi:2019:RCA,
  author =       "Mashfiqui Rabbi and Katherine Li and H. Yanna Yan and
                 Kelly Hall and Predrag Klasnja and Susan Murphy",
  title =        "{ReVibe}: a Context-assisted Evening Recall Approach
                 to Improve Self-report Adherence",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--27",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369806",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369806",
  abstract =     "Besides passive sensing, ecological momentary
                 assessments (EMAs) are one of the primary methods to
                 collect in-the-moment data in ubiquitous computing and
                 mobile health. While EMAs have the advantage of low
                 recall bias, a disadvantage is that they \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "149",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Parizi:2019:APE,
  author =       "Farshid Salemi Parizi and Eric Whitmire and Shwetak
                 Patel",
  title =        "{AuraRing}: Precise Electromagnetic Finger Tracking",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--28",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369831",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369831",
  abstract =     "Wearable computing platforms, such as smartwatches and
                 head-mounted mixed reality displays, demand new input
                 devices for high-fidelity interaction. We present
                 AuraRing, a wearable magnetic tracking system designed
                 for tracking fine-grained finger \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "150",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Schroeder:2019:EOG,
  author =       "Jessica Schroeder and Ravi Karkar and Natalia Murinova
                 and James Fogarty and Sean A. Munson",
  title =        "Examining Opportunities for Goal-Directed
                 Self-Tracking to Support Chronic Condition Management",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--26",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369809",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369809",
  abstract =     "Although self-tracking offers potential for a more
                 complete, accurate, and longer-term understanding of
                 personal health, many people struggle with or fail to
                 achieve their goals for health-related self-tracking.
                 This paper investigates how to address \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "151",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Shih:2019:BSB,
  author =       "Chen-Hsuan (Iris) Shih and Naofumi Tomita and Yanick
                 X. Lukic and {\'A}lvaro Hern{\'a}ndez Reguera and Elgar
                 Fleisch and Tobias Kowatsch",
  title =        "{Breeze}: Smartphone-based Acoustic Real-time
                 Detection of Breathing Phases for a Gamified
                 Biofeedback Breathing Training",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--30",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369835",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369835",
  abstract =     "Slow-paced biofeedback-guided breathing training has
                 been shown to improve cardiac functioning and
                 psychological well-being. Current training options,
                 however, attract only a fraction of individuals and are
                 limited in their scalability as they require \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "152",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Tabassum:2019:IUP,
  author =       "Madiha Tabassum and Tomasz Kosi{\'n}ski and Alisa Frik
                 and Nathan Malkin and Primal Wijesekera and Serge
                 Egelman and Heather Richter Lipford",
  title =        "Investigating Users' Preferences and Expectations for
                 Always-Listening Voice Assistants",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--23",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369807",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369807",
  abstract =     "Many consumers now rely on different forms of voice
                 assistants, both stand-alone devices and those built
                 into smartphones. Currently, these systems react to
                 specific wake-words, such as {``Alexa,''} {``Siri,''}
                 or {``Ok Google.''} However, with advancements in
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "153",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wan:2019:AHO,
  author =       "Zhiyuan Wan and Lingfeng Bao and Debin Gao and Eran
                 Toch and Xin Xia and Tamir Mendel and David Lo",
  title =        "{AppMoD}: Helping Older Adults Manage Mobile Security
                 with Online Social Help",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--22",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369819",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369819",
  abstract =     "The rapid adoption of Smartphone devices has caused
                 increasing security and privacy risks and breaches.
                 Catching up with ever-evolving contemporary smartphone
                 technology challenges leads older adults (aged 50+) to
                 reduce or to abandon their use of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "154",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2019:RTW,
  author =       "Jingxian Wang and Chengfeng Pan and Haojian Jin and
                 Vaibhav Singh and Yash Jain and Jason I. Hong and
                 Carmel Majidi and Swarun Kumar",
  title =        "{RFID Tattoo}: a Wireless Platform for Speech
                 Recognition",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--24",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369812",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369812",
  abstract =     "This paper presents an RF-based assistive technology
                 for voice impairments (i.e., dysphonia), which occurs
                 in an estimated 1\% of the global population. We
                 specifically focus on acquired voice disorders where
                 users continue to be able to make facial and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "155",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2019:CCF,
  author =       "Qianru Wang and Junbo Zhang and Bin Guo and Zexia Hao
                 and Yifang Zhou and Junkai Sun and Zhiwen Yu and Yu
                 Zheng",
  title =        "{CityGuard}: Citywide Fire Risk Forecasting Using a
                 Machine Learning Approach",
  journal =      j-IMWUT,
  volume =       "3",
  number =       "4",
  pages =        "1--21",
  month =        dec,
  year =         "2019",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3369814",
  ISSN =         "2474-9567 (electronic)",
  bibdate =      "Thu Jan 23 12:37:15 MST 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3369814",
  abstract =     "Forecasting the fire risk is of great importance to
                 fire prevention deployments in a city, which can reduce
                 loss even deaths caused by fires. However, it is very
                 challenging because fires are influenced by many
                 complex factors, including spatial \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "156",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hossain:2020:FCS,
  author =       "Forsad {Al Hossain} and Andrew A. Lover and George A.
                 Corey and Nicholas G. Reich and Tauhidur Rahman",
  title =        "{FluSense}: a Contactless Syndromic Surveillance
                 Platform for Influenza-Like Illness in Hospital Waiting
                 Areas",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "1:1--1:28",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381014",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381014",
  abstract =     "We developed a contactless syndromic surveillance
                 platform FluSense that aims to expand the current
                 paradigm of influenza-like illness (ILI) surveillance
                 by capturing crowd-level bio-clinical signals directly
                 related to physical symptoms of ILI from \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bai:2020:CWC,
  author =       "Yunhao Bai and Xiaorui Wang",
  title =        "{CARIN}: Wireless {CSI}-based Driver Activity
                 Recognition under the Interference of Passengers",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "2:1--2:28",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380992",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380992",
  abstract =     "Recent studies have proposed to use the Channel State
                 Information (CSI) of WiFi wireless channel for human
                 gesture recognition. As an important application,
                 CSI-based driver activity recognition in passenger
                 vehicles has received increasing research \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Beneteau:2020:ACH,
  author =       "Erin Beneteau and Yini Guan and Olivia K. Richards and
                 Mingrui Ray Zhang and Julie A. Kientz and Jason Yip and
                 Alexis Hiniker",
  title =        "Assumptions Checked: How Families Learn About and Use
                 the {Echo Dot}",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "3:1--3:23",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380993",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380993",
  abstract =     "Users of voice assistants often report that they fall
                 into patterns of using their device for a limited set
                 of interactions, like checking the weather and setting
                 alarms. However, it's not clear if limited use is, in
                 part, due to lack of learning about \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chatterjee:2020:SDS,
  author =       "Soujanya Chatterjee and Alexander Moreno and Steven
                 Lloyd Lizotte and Sayma Akther and Emre Ertin and
                 Christopher P. Fagundes and Cho Lam and James M. Rehg
                 and Neng Wan and David W. Wetter and Santosh Kumar",
  title =        "{SmokingOpp}: Detecting the Smoking `Opportunity'
                 Context Using Mobile Sensors",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "4:1--4:26",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380987",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380987",
  abstract =     "Context plays a key role in impulsive adverse
                 behaviors such as fights, suicide attempts,
                 binge-drinking, and smoking lapse. Several contexts
                 dissuade such behaviors, but some may trigger adverse
                 impulsive behaviors. We define these latter contexts as
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2020:MDM,
  author =       "Ling Chen and Yi Zhang and Liangying Peng",
  title =        "{METIER}: a Deep Multi-Task Learning Based Activity
                 and User Recognition Model Using Wearable Sensors",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "5:1--5:18",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381012",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381012",
  abstract =     "Activity recognition (AR) and user recognition (UR)
                 using wearable sensors are two key tasks in ubiquitous
                 and mobile computing. Currently, they still face some
                 challenging problems. For one thing, due to the
                 variations in how users perform activities, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cheng:2020:STI,
  author =       "Tingyu Cheng and Koya Narumi and Youngwook Do and Yang
                 Zhang and Tung D. Ta and Takuya Sasatani and Eric
                 Markvicka and Yoshihiro Kawahara and Lining Yao and
                 Gregory D. Abowd and HyunJoo Oh",
  title =        "{Silver Tape}: Inkjet-Printed Circuits
                 Peeled-and-Transferred on Versatile Substrates",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "6:1--6:17",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381013",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381013",
  abstract =     "We propose Silver Tape, a simple yet novel fabrication
                 technique to transfer inkjet-printed silver traces from
                 paper onto versatile substrates, without time-/space-
                 consuming processes such as screen printing or heat
                 sintering. This allows users to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Darvariu:2020:QRB,
  author =       "Victor-Alexandru Darvariu and Laura Convertino and
                 Abhinav Mehrotra and Mirco Musolesi",
  title =        "Quantifying the Relationships between Everyday Objects
                 and Emotional States through Deep Learning Based Image
                 Analysis Using Smartphones",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "7:1--7:21",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380997",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380997",
  abstract =     "There has been an increasing interest in the problem
                 of inferring emotional states of individuals using
                 sensor and user-generated information as diverse as GPS
                 traces, social media data and smartphone interaction
                 patterns. One aspect that has received \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Elbakly:2020:SSB,
  author =       "Rizanne Elbakly and Moustafa Youssef",
  title =        "The {StoryTeller}: Scalable Building- and
                 {AP}-independent Deep Learning-based Floor Prediction",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "8:1--8:20",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380979",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380979",
  abstract =     "Due to the recent proliferation of location-based
                 services indoors, the need for an accurate floor
                 estimation technique that is easy to deploy in any
                 typical multi-story building is higher than ever.
                 Current approaches that attempt to solve the floor
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fang:2020:PPI,
  author =       "Zhihan Fang and Boyang Fu and Zhou Qin and Fan Zhang
                 and Desheng Zhang",
  title =        "{PrivateBus}: Privacy Identification and Protection in
                 Large-Scale Bus {WiFi} Systems",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "9:1--9:23",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380990",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380990",
  abstract =     "Recently, the ubiquity of mobile devices leads to an
                 increasing demand of public network services, e.g.,
                 WiFi hot spots. As a part of this trend, modern
                 transportation systems are equipped with public WiFi
                 devices to provide Internet access for \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Feng:2020:PPP,
  author =       "Jie Feng and Can Rong and Funing Sun and Diansheng Guo
                 and Yong Li",
  title =        "{PMF}: a Privacy-preserving Human Mobility Prediction
                 Framework via Federated Learning",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "10:1--10:21",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381006",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381006",
  abstract =     "With the popularity of mobile devices and
                 location-based social network, understanding and
                 modelling the human mobility becomes an important topic
                 in the field of ubiquitous computing. With the model
                 developing from personal models with own information
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Garg:2020:JLM,
  author =       "Radhika Garg and Subhasree Sengupta",
  title =        "He Is Just Like Me: a Study of the Long-Term Use of
                 Smart Speakers by Parents and Children",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "11:1--11:24",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381002",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381002",
  abstract =     "Over the past few years, the technological vision of
                 the HCI and UbiComp communities regarding
                 conversational devices has become manifest in the form
                 of smart speakers such as Google Home and Amazon Echo.
                 Even though millions of households have adopted
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{He:2020:MDB,
  author =       "Liang He and Youngmoon Lee and Kang G. Shin",
  title =        "Mobile Device Batteries as Thermometers",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "12:1--12:21",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381015",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381015",
  abstract =     "The ability to sense ambient temperature pervasively,
                 albeit crucial for many applications, is not yet
                 available, causing problems such as degraded indoor
                 thermal comfort and unexpected/premature shutoffs of
                 mobile devices. To enable pervasive sensing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ikeda:2020:SMS,
  author =       "Natsuki Ikeda and Ryo Shigeta and Junichiro Shiomi and
                 Yoshihiro Kawahara",
  title =        "Soil-Monitoring Sensor Powered by Temperature
                 Difference between Air and Shallow Underground Soil",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "13:1--13:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380995",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380995",
  abstract =     "Energy harvesting (EH) technologies are useful for the
                 semi-permanent operation of wireless sensor networks,
                 especially, for agricultural monitoring as the networks
                 need to be installed in large areas where power supply
                 is unavailable. In this paper, we \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2020:IVM,
  author =       "Auk Kim and Jung-Mi Park and Uichin Lee",
  title =        "Interruptibility for In-vehicle Multitasking:
                 Influence of Voice Task Demands and Adaptive
                 Behaviors",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "14:1--14:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381009",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381009",
  abstract =     "As a countermeasure to visual-manual distractions,
                 auditory-verbal (voice) interfaces are becoming
                 increasingly popular for in-vehicle systems. This opens
                 up new opportunities for drivers to receive proactive
                 personalized services from various service \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cavdar:2020:MPA,
  author =       "Seyma Kucukozer Cavdar and Tugba Taskaya-Temizel and
                 Mirco Musolesi and Peter Tino",
  title =        "A Multi-perspective Analysis of Social Context and
                 Personal Factors in {Office} Settings for the Design of
                 an Effective Mobile Notification System",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "15:1--15:38",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381000",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381000",
  abstract =     "In this study, we investigate the effects of social
                 context, personal and mobile phone usage on the
                 inference of work engagement/challenge levels of
                 knowledge workers and their responsiveness to
                 well-being related notifications. Our results show that
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lee:2020:USL,
  author =       "Yeonjoon Lee and Yue Zhao and Jiutian Zeng and
                 Kwangwuk Lee and Nan Zhang and Faysal Hossain Shezan
                 and Yuan Tian and Kai Chen and XiaoFeng Wang",
  title =        "Using Sonar for Liveness Detection to Protect Smart
                 Speakers against Remote Attackers",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "16:1--16:28",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380991",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380991",
  abstract =     "Smart speakers, which wait for voice commands and
                 complete tasks for users, are becoming part of common
                 households. While voice commands came with basic
                 functionalities in the earlier days, as the market
                 grew, various commands with critical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liang:2020:HDF,
  author =       "Zilu Liang and Bernd Ploderer",
  title =        "How Does {Fitbit} Measure Brainwaves: a Qualitative
                 Study into the Credibility of Sleep-tracking
                 Technologies",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "17:1--17:29",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380994",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380994",
  abstract =     "Consumer sleep-tracking devices provide an unobtrusive
                 and affordable way to learn about personal sleep
                 habits. Recent research focused primarily on the
                 information provided by such devices, i.e., whether the
                 information is accurate and meaningful to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liao:2020:PHR,
  author =       "Peng Liao and Kristjan Greenewald and Predrag Klasnja
                 and Susan Murphy",
  title =        "Personalized {HeartSteps}: a Reinforcement Learning
                 Algorithm for Optimizing Physical Activity",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "18:1--18:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381007",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381007",
  abstract =     "With the recent proliferation of mobile health
                 technologies, health scientists are increasingly
                 interested in developing just-in-time adaptive
                 interventions (JITAIs), typically delivered via
                 notifications on mobile devices and designed to help
                 users \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2020:GGA,
  author =       "Shengzhong Liu and Shuochao Yao and Jinyang Li and
                 Dongxin Liu and Tianshi Wang and Huajie Shao and Tarek
                 Abdelzaher",
  title =        "{GIobalFusion}: a Global Attentional Deep Learning
                 Framework for Multisensor Information Fusion",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "19:1--19:27",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380999",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380999",
  abstract =     "The paper enhances deep-neural-network-based inference
                 in sensing applications by introducing a lightweight
                 attention mechanism called the global attention module
                 for multi-sensor information fusion. This mechanism is
                 capable of utilizing information \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lu:2020:DEH,
  author =       "Yiqin Lu and Bingjian Huang and Chun Yu and Guahong
                 Liu and Yuanchun Shi",
  title =        "Designing and Evaluating Hand-to-Hand Gestures with
                 Dual Commodity Wrist-Worn Devices",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "20:1--20:27",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380984",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380984",
  abstract =     "Hand gestures provide a natural and easy-to-use way to
                 input commands. However, few works have studied the
                 design space of bimanual hand gestures or attempted to
                 infer gestures that involve devices on both hands. We
                 explore the design space of hand-to-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Luo:2020:DDD,
  author =       "Man Luo and Bowen Du and Konstantin Klemmer and
                 Hongming Zhu and Hakan Ferhatosmanoglu and Hongkai
                 Wen",
  title =        "{D3P}: Data-driven Demand Prediction for Fast
                 Expanding Electric Vehicle Sharing Systems",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "21:1--21:21",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381005",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381005",
  abstract =     "The future of urban mobility is expected to be shared
                 and electric. It is not only a more sustainable
                 paradigm that can reduce emissions, but can also bring
                 societal benefits by offering a more affordable
                 on-demand mobility option to the general public.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Martinez-Maldonado:2020:TTI,
  author =       "Roberto Martinez-Maldonado and Katerina Mangaroska and
                 Jurgen Schulte and Doug Elliott and Carmen Axisa and
                 Simon Buckingham Shum",
  title =        "Teacher Tracking with Integrity: What Indoor
                 Positioning Can Reveal About Instructional Proxemics",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "22:1--22:27",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381017",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381017",
  abstract =     "Automatic tracking of activity and location in the
                 classroom is becoming increasingly feasible and
                 inexpensive. However, although there is a growing
                 interest in creating classrooms embedded with tracking
                 capabilities using computer vision and wearables,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Obuchi:2020:PBF,
  author =       "Mikio Obuchi and Jeremy F. Huckins and Weichen Wang
                 and Alex daSilva and Courtney Rogers and Eilis Murphy
                 and Elin Hedlund and Paul Holtzheimer and Shayan
                 Mirjafari and Andrew Campbell",
  title =        "Predicting Brain Functional Connectivity Using Mobile
                 Sensing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "23:1--23:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381001",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381001",
  abstract =     "Brain circuit functioning and connectivity between
                 specific regions allow us to learn, remember, recognize
                 and think as humans. In this paper, we ask the question
                 if mobile sensing from phones can predict brain
                 functional connectivity. We study the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ren:2020:LLS,
  author =       "Yili Ren and Sheng Tan and Linghan Zhang and Zi Wang
                 and Zhi Wang and Jie Yang",
  title =        "Liquid Level Sensing Using Commodity {WiFi} in a Smart
                 Home Environment",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "24:1--24:30",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380996",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380996",
  abstract =     "The popularity of Internet-of-Things (IoT) has
                 provided us with unprecedented opportunities to enable
                 a variety of emerging services in a smart home
                 environment. Among those services, sensing the liquid
                 level in a container is critical to building many
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ruan:2020:DPR,
  author =       "Sijie Ruan and Jie Bao and Yuxuan Liang and Ruiyuan Li
                 and Tianfu He and Chuishi Meng and Yanhua Li and
                 Yingcai Wu and Yu Zheng",
  title =        "Dynamic Public Resource Allocation Based on Human
                 Mobility Prediction",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "25:1--25:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380986",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380986",
  abstract =     "The objective of public resource allocation, e.g., the
                 deployment of billboards, surveillance cameras, base
                 stations, trash bins, is to serve more people. However,
                 due to the dynamics of human mobility patterns, people
                 are distributed unevenly on the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Santhalingam:2020:MEI,
  author =       "Panneer Selvam Santhalingam and Al Amin Hosain and
                 Ding Zhang and Parth Pathak and Huzefa Rangwala and
                 Raja Kushalnagar",
  title =        "{mmASL}: Environment-Independent {ASL} Gesture
                 Recognition Using {60 GHz} Millimeter-wave Signals",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "26:1--26:30",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381010",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381010",
  abstract =     "Home assistant devices such as Amazon Echo and Google
                 Home have become tremendously popular in the last
                 couple of years. However, due to their voice-controlled
                 functionality, these devices are not accessible to Deaf
                 and Hard-of-Hearing (DHH) people. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Waghmare:2020:USS,
  author =       "Anandghan Waghmare and Qiuyue Xue and Dingtian Zhang
                 and Yuhui Zhao and Shivan Mittal and Nivedita Arora and
                 Ceara Byrne and Thad Starner and Gregory D. Abowd",
  title =        "{UbiquiTouch}: Self Sustaining Ubiquitous Touch
                 Interfaces",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "27:1--27:22",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380989",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380989",
  abstract =     "We present UbiquiTouch, an ultra low power wireless
                 touch interface. With an average power consumption of
                 30.91$ \mu $W, UbiquiTouch can run on energy harvested
                 from ambient light. It achieves this performance
                 through low power touch sensing and passive \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2020:FDD,
  author =       "Guang Wang and Yongfeng Zhang and Zhihan Fang and
                 Shuai Wang and Fan Zhang and Desheng Zhang",
  title =        "{FairCharge}: a Data-Driven Fairness-Aware Charging
                 Recommendation System for Large-Scale Electric Taxi
                 Fleets",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "28:1--28:25",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381003",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381003",
  abstract =     "Our society is witnessing a rapid taxi electrification
                 process. Compared to conventional gas taxis, a key
                 drawback of electric taxis is their prolonged charging
                 time, which potentially reduces drivers' daily
                 operation time and income. In addition, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2020:WOD,
  author =       "Jiangtao Wang and Junyi Ma and Yasha Wang and Ning
                 Wang and Leye Wang and Daqing Zhang and Feng Wang and
                 Qin Lv",
  title =        "Will Online Digital Footprints Reveal Your
                 Relationship Status?: an Empirical Study of Social
                 Applications for Sexual-Minority Men",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "29:1--29:23",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3380978",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3380978",
  abstract =     "With the increasing social acceptance and openness,
                 more and more sexual-minority men (SMM) have succeeded
                 in creating and sustaining steady relationships in
                 recent years. Maintaining steady relationships is
                 beneficial to the wellbeing of SMM both \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2020:AET,
  author =       "Xiyue Wang and Kazuki Takashima and Tomoaki Adachi and
                 Patrick Finn and Ehud Sharlin and Yoshifumi Kitamura",
  title =        "{AssessBlocks}: Exploring Toy Block Play Features for
                 Assessing Stress in Young Children after Natural
                 Disasters",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "1",
  pages =        "30:1--30:29",
  month =        mar,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3381016",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:39 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3381016",
  abstract =     "Natural disasters cause long-lasting mental health
                 problems such as PTSD in children. Following the 2011
                 Earthquake and Tsunami in Japan, we witnessed a shift
                 of toy block play behavior in young children who
                 suffered from stress after the disaster. The \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bai:2020:AMV,
  author =       "Lei Bai and Lina Yao and Xianzhi Wang and Salil S.
                 Kanhere and Bin Guo and Zhiwen Yu",
  title =        "Adversarial Multi-view Networks for Activity
                 Recognition",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "42:1--42:22",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397323",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397323",
  abstract =     "Human activity recognition (HAR) plays an
                 irreplaceable role in various applications and has been
                 a prosperous research topic for years. Recent studies
                 show significant progress in feature extraction (i.e.,
                 data representation) using deep learning \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "42",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Feng:2020:SMF,
  author =       "Yunhe Feng and Qing Cao and Hairong Qi and Scott
                 Ruoti",
  title =        "{SenCAPTCHA}: a Mobile-First {CAPTCHA} Using
                 Orientation Sensors",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "43:1--43:26",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397312",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397312",
  abstract =     "CAPTCHAs are used to distinguish between human- and
                 computer-generated (i.e., bot) online traffic. As there
                 is an ever-increasing amount of online traffic from
                 mobile devices, it is necessary to design CAPTCHAs that
                 work well on mobile devices. In this \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "43",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gashi:2020:DAA,
  author =       "Shkurta Gashi and Elena {Di Lascio} and Bianca Stancu
                 and Vedant Das Swain and Varun Mishra and Martin
                 Gjoreski and Silvia Santini",
  title =        "Detection of Artifacts in Ambulatory Electrodermal
                 Activity Data",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "44:1--44:31",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397316",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397316",
  abstract =     "Recent wearable devices enable continuous and
                 unobtrusive monitoring of human's physiological
                 parameters, like e.g., electrodermal activity and heart
                 rate, over long periods of time in everyday life
                 settings. Continuous monitoring of these parameters
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "44",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Venkatnarayan:2020:LPW,
  author =       "Raghav H. Venkatnarayan and Muhammad Shahzad and
                 Sangki Yun and Christina Vlachou and Kyu-Han Kim",
  title =        "Leveraging Polarization of {WiFi} Signals to
                 Simultaneously Track Multiple People",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "45:1--45:24",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397317",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397317",
  abstract =     "This paper presents WiPolar, an approach that
                 simultaneously tracks multiple people using commodity
                 WiFi devices. While two recent papers have also
                 demonstrated multi-person tracking using commodity
                 devices, they either require the people to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "45",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Huang:2020:IIC,
  author =       "Danny Yuxing Huang and Noah Apthorpe and Frank Li and
                 Gunes Acar and Nick Feamster",
  title =        "{IoT} Inspector: Crowdsourcing Labeled Network Traffic
                 from Smart Home Devices at Scale",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "46:1--46:21",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397333",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397333",
  abstract =     "The proliferation of smart home devices has created
                 new opportunities for empirical research in ubiquitous
                 computing, ranging from security and privacy to
                 personal health. Yet, data from smart home deployments
                 are hard to come by, and existing empirical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "46",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jung:2020:FSE,
  author =       "Jisu Jung and Lyndal Wellard-Cole and Colin Cai and
                 Irena Koprinska and Kalina Yacef and Margaret
                 Allman-Farinelli and Judy Kay",
  title =        "Foundations for Systematic Evaluation and Benchmarking
                 of a Mobile Food Logger in a Large-scale Nutrition
                 Study",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "47:1--47:25",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397327",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397327",
  abstract =     "Mobile food logging is important but people find it
                 tedious and difficult to do. Our work tackles the
                 challenging aspect of searching a large food database
                 on a small mobile screen. We describe the design of the
                 EaT (Eat and Track) app with its Search-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "47",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Katanbaf:2020:RRB,
  author =       "Mohamad Katanbaf and Vivek Jain and Joshua R. Smith",
  title =        "{Relacks}: Reliable Backscatter Communication in
                 Indoor Environments",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "48:1--48:24",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397314",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397314",
  abstract =     "The increasing number of embedded, plugged-in radios
                 around homes and offices in everyday objects such as
                 appliances, TVs, and smart speakers provides an
                 excellent opportunity to bring ultra-low-power
                 backscatter connectivity to billions of devices.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "48",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2020:EID,
  author =       "Boning Li and Akane Sano",
  title =        "Extraction and Interpretation of Deep
                 Autoencoder-based Temporal Features from Wearables for
                 Forecasting Personalized Mood, Health, and Stress",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "49:1--49:26",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397318",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397318",
  abstract =     "Continuous wearable sensor data in high resolution
                 contain physiological and behavioral information that
                 can be utilized to predict human health and wellbeing,
                 establishing the foundation for developing early
                 warning systems to eventually improve human \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "49",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Swaminathan:2020:OFR,
  author =       "Saiganesh Swaminathan and Jonathon Fagert and Michael
                 Rivera and Andrew Cao and Gierad Laput and Hae Young
                 Noh and Scott E. Hudson",
  title =        "{OptiStructures}: Fabrication of Room-Scale
                 Interactive Structures with Embedded Fiber {Bragg}
                 Grating Optical Sensors and Displays",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "50:1--50:21",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397310",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397310",
  abstract =     "A recent topic of considerable interest in the ``smart
                 building'' community involves building interactive
                 devices using sensors, and rapidly creating these
                 objects using new fabrication methods. However, much of
                 this work has been done at what might be \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "50",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lu:2020:VSV,
  author =       "Li Lu and Jiadi Yu and Yingying Chen and Yan Wang",
  title =        "{VocalLock}: Sensing Vocal Tract for
                 Passphrase-Independent User Authentication Leveraging
                 Acoustic Signals on Smartphones",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "51:1--51:24",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397320",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/cryptography2020.bib;
                 https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397320",
  abstract =     "Recent years have witnessed the surge of
                 biometric-based user authentication for mobile devices
                 due to its promising security and convenience. As a
                 natural and widely-existed behavior, human speaking has
                 been exploited for user authentication. Existing
                 voice-based user authentication explores the unique
                 characteristics from either the voiceprint or mouth
                 movements, which is vulnerable to replay attacks and
                 mimic attacks. During speaking, the vocal tract,
                 including the static shape and dynamic movements, also
                 exhibits the individual uniqueness, and they are hardly
                 eavesdropped and imitated by adversaries. Hence, our
                 work aims to employ the individual uniqueness of vocal
                 tract to realize user authentication on mobile devices.
                 Moreover, most voice-based user authentications are
                 passphrase-dependent, which significantly degrade the
                 user experience. Thus, such user authentications are
                 pressed to be implemented in a passphrase-independent
                 manner while being able to resist various attacks. In
                 this paper, we propose a user authentication system,
                 VocalLock, which senses the whole vocal tract during
                 speaking to identify different individuals in a
                 passphrase-independent manner on smartphones leveraging
                 acoustic signals. VocalLock first utilizes FMCW on
                 acoustic signals to characterize both the static shape
                 and dynamic movements of the vocal tract during
                 speaking, and then constructs a passphrase-independent
                 user authentication model based on the unique
                 characteristics of vocal tract through GMM-UBM. The
                 proposed VocalLock can resist various spoofing attacks,
                 while achieving a satisfactory user experience.
                 Extensive experiments in real environments demonstrate
                 VocalLock can accurately authenticate user identity in
                 a passphrase-independent manner and successfully resist
                 various attacks.",
  acknowledgement = ack-nhfb,
  articleno =    "51",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ma:2020:FGA,
  author =       "Rui Ma and Ning Liu and Xiangxiang Xu and Yue Wang and
                 Hae Young Noh and Pei Zhang and Lin Zhang",
  title =        "Fine-Grained Air Pollution Inference with Mobile
                 Sensing Systems: a Weather-Related Deep Autoencoder
                 Model",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "52:1--52:21",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397322",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397322",
  abstract =     "Air pollution is a global health threat. Except static
                 official air quality stations, mobile sensing systems
                 are deployed for urban air pollution monitoring to
                 achieve larger sensing coverage and greater sampling
                 granularity. However, the data sparsity \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "52",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Nguyen:2020:MAS,
  author =       "Ngoc Thi Nguyen and Agustin Zuniga and Hyowon Lee and
                 Pan Hui and Huber Flores and Petteri Nurmi",
  title =        "{(M)ad} to See Me?: Intelligent Advertisement
                 Placement: Balancing User Annoyance and Advertising
                 Effectiveness",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "53:1--53:26",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397324",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397324",
  abstract =     "Advertising is an unavoidable albeit a frustrating
                 part of mobile interactions. Due to limited form
                 factor, mobile advertisements often resort to intrusive
                 strategies where they temporarily block the user's view
                 in an attempt to increase effectiveness \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "53",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Niu:2020:MMS,
  author =       "Qun Niu and Tao He and Ning Liu and Suining He and
                 Xiaonan Luo and Fan Zhou",
  title =        "{MAIL}: Multi-Scale Attention-Guided Indoor
                 Localization Using Geomagnetic Sequences",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "54:1--54:23",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397335",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397335",
  abstract =     "Knowing accurate indoor locations of pedestrians has
                 great social and commercial values, such as pedestrian
                 heatmapping and targeted advertising. Location
                 estimation with sequential inputs (e.g., geomagnetic
                 sequences) has received much attention lately,.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "54",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Parmar:2020:MIP,
  author =       "Dhaval Parmar and Timothy Bickmore",
  title =        "Making It Personal: Addressing Individual Audience
                 Members in Oral Presentations Using Augmented Reality",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "55:1--55:22",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397336",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397336",
  abstract =     "Public-speaking situations such as classroom lectures,
                 seminars, and meetings, where speakers must actively
                 engage the audience, require considerable effort from
                 the speaker in gathering verbal and non-verbal feedback
                 from the audience. Garnering \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "55",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Rough:2020:EUD,
  author =       "Daniel J. Rough and Aaron Quigley",
  title =        "End-User Development of Experience Sampling Smartphone
                 Apps --- Recommendations and Requirements",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "56:1--56:19",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397307",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397307",
  abstract =     "Professional programmers are significantly outnumbered
                 by end-users of software, making it problematic to
                 predict the diverse, dynamic needs of these users in
                 advance. An end-user development (EUD) approach,
                 supporting the creation and modification of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "56",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Sheng:2020:WSM,
  author =       "Taoran Sheng and Manfred Huber",
  title =        "Weakly Supervised Multi-Task Representation Learning
                 for Human Activity Analysis Using Wearables",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "57:1--57:18",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397330",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397330",
  abstract =     "Sensor data streams from wearable devices and smart
                 environments are widely studied in areas like human
                 activity recognition (HAR), person identification, or
                 health monitoring. However, most of the previous works
                 in activity and sensor stream analysis \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "57",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2020:KPY,
  author =       "Guanhong Liu and Yizheng Gu and Yiwen Yin and Chun Yu
                 and Yuntao Wang and Haipeng Mi and Yuanchun Shi",
  title =        "Keep the Phone in Your Pocket: Enabling Smartphone
                 Operation with an {IMU} Ring for Visually Impaired
                 People",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "58:1--58:23",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397308",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397308",
  abstract =     "Previous studies have shown that visually impaired
                 users face a unique set of pain points in smartphone
                 interaction including locating and removing the phone
                 from a pocket, two-handed interaction while holding a
                 cane, and keeping personal data private \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "58",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Shi:2020:RST,
  author =       "Yilei Shi and Haimo Zhang and Kaixing Zhao and Jiashuo
                 Cao and Mengmeng Sun and Suranga Nanayakkara",
  title =        "Ready, Steady, Touch!: Sensing Physical Contact with a
                 Finger-Mounted {IMU}",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "59:1--59:25",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397309",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397309",
  abstract =     "A finger held in the air exhibits microvibrations,
                 which are reduced when it touches a static object. When
                 a finger moves along a surface, the friction between
                 them produces vibrations, which can not be produced
                 with a free-moving finger in the air. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "59",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Veuskens:2020:RRA,
  author =       "Tom Veuskens and Kris Luyten and Raf Ramakers",
  title =        "Rataplan: Resilient Automation of User Interface
                 Actions with Multi-modal Proxies",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "60:1--60:23",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397329",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397329",
  abstract =     "We present Rataplan, a robust and resilient
                 pixel-based approach for linking multi-modal proxies to
                 automated sequences of actions in graphical user
                 interfaces (GUIs). With Rataplan, users demonstrate a
                 sequence of actions and answer human-readable
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "60",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wu:2020:WSE,
  author =       "Di Wu and Tao Xiao and Xuewen Liao and Jie Luo and
                 Chao Wu and Shigeng Zhang and Yong Li and Yike Guo",
  title =        "When Sharing Economy Meets {IoT}: Towards Fine-grained
                 Urban Air Quality Monitoring through Mobile
                 Crowdsensing on Bike-share System",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "61:1--61:26",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397328",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397328",
  abstract =     "Air pollution is a serious global issue impacting
                 public health and social economy. In particular,
                 exposure to small particulate matter of 2.5 microns or
                 less in diameter (PM2.5) can cause cardiovascular and
                 respiratory diseases, and cancer. Fine-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "61",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xie:2020:RRC,
  author =       "Xiaoyang Xie and Zhihan Fang and Yang Wang and Fan
                 Zhang and Desheng Zhang",
  title =        "{RISC}: Resource-Constrained Urban Sensing Task
                 Scheduling Based on Commercial Fleets",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "62:1--62:20",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397337",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397337",
  abstract =     "With the trend of vehicles becoming increasingly
                 connected and potentially autonomous, vehicles are
                 being equipped with rich sensing and communication
                 devices. Various vehicular services based on shared
                 real-time sensor data of vehicles from a fleet
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "62",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yau:2020:HSC,
  author =       "Yui-Pan Yau and Lik Hang Lee and Zheng Li and Tristan
                 Braud and Yi-Hsuan Ho and Pan Hui",
  title =        "How Subtle Can It Get?: a Trimodal Study of Ring-sized
                 Interfaces for One-Handed Drone Control",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "63:1--63:29",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397319",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397319",
  abstract =     "Flying drones have become common objects in our daily
                 lives, serving a multitude of purposes. Many of these
                 purposes involve outdoor scenarios where the user
                 combines drone control with another activity.
                 Traditional interaction methods rely on physical
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "63",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yin:2020:LRH,
  author =       "Huanpu Yin and Anfu Zhou and Guangyuan Su and Bo Chen
                 and Liang Liu and Huadong Ma",
  title =        "Learning to Recognize Handwriting Input with Acoustic
                 Features",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "64:1--64:26",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397334",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397334",
  abstract =     "For mobile or wearable devices with a small
                 touchscreen, handwriting input (instead of typing on
                 the touchscreen) is highly desirable for efficient
                 human-computer interaction. Previous passive
                 acoustic-based handwriting solutions mainly focus on
                 print-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "64",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Young:2020:MNT,
  author =       "Jacob Young and Tobias Langlotz and Steven Mills and
                 Holger Regenbrecht",
  title =        "{Mobileportation}: Nomadic Telepresence for Mobile
                 Devices",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "65:1--65:16",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397331",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397331",
  abstract =     "The desire to stay connected to one another over large
                 distances has guided decades of telepresence research.
                 Most focuses on stationary solutions that can deliver
                 high-fidelity telepresence experiences, but these are
                 usually impractical for the wider \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "65",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yue:2020:BMS,
  author =       "Shichao Yue and Yuzhe Yang and Hao Wang and Hariharan
                 Rahul and Dina Katabi",
  title =        "{BodyCompass}: Monitoring Sleep Posture with Wireless
                 Signals",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "66:1--66:25",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397311",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397311",
  abstract =     "Monitoring sleep posture is important for avoiding
                 bedsores after surgery, reducing apnea events, tracking
                 the progression of Parkinson's disease, and even
                 alerting epilepsy patients to potentially fatal sleep
                 postures. Today, there is no easy way to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "66",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhai:2020:MSS,
  author =       "Bing Zhai and Ignacio Perez-Pozuelo and Emma A. D.
                 Clifton and Joao Palotti and Yu Guan",
  title =        "Making Sense of Sleep: Multimodal Sleep Stage
                 Classification in a Large, Diverse Population Using
                 Movement and Cardiac Sensing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "67:1--67:33",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397325",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397325",
  abstract =     "Traditionally, sleep monitoring has been performed in
                 hospital or clinic environments, requiring complex and
                 expensive equipment set-up and expert scoring. Wearable
                 devices increasingly provide a viable alternative for
                 sleep monitoring and are able to \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "67",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhang:2020:ELL,
  author =       "Fusang Zhang and Zhaoxin Chang and Kai Niu and Jie
                 Xiong and Beihong Jin and Qin Lv and Daqing Zhang",
  title =        "Exploring {LoRa} for Long-range Through-wall Sensing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "68:1--68:27",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397326",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397326",
  abstract =     "Wireless signals have been extensively utilized for
                 contactless sensing in the past few years. Due to the
                 intrinsic nature of employing the weak target-reflected
                 signal for sensing, the sensing range is limited. For
                 instance, WiFi and RFID can achieve 3-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "68",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhang:2020:TRT,
  author =       "Shigeng Zhang and Yinggang Li and Xuan Liu and Song
                 Guo and Weiping Wang and Jianxin Wang and Bo Ding and
                 Di Wu",
  title =        "Towards Real-time Cooperative Deep Inference over the
                 Cloud and Edge End Devices",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "69:1--69:24",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397315",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397315",
  abstract =     "Deep neural networks (DNNs) have been widely used in
                 many intelligent applications such as object
                 recognition and automatic driving due to their superior
                 performance in conducting inference tasks. However, DNN
                 models are usually heavyweight in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "69",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zheng:2020:VVV,
  author =       "Tianyue Zheng and Zhe Chen and Chao Cai and Jun Luo
                 and Xu Zhang",
  title =        "{V2iFi}: in-Vehicle Vital Sign Monitoring via Compact
                 {RF} Sensing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "70:1--70:27",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397321",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397321",
  abstract =     "Given the significant amount of time people spend in
                 vehicles, health issues under driving condition have
                 become a major concern. Such issues may vary from
                 fatigue, asthma, stroke, to even heart attack, yet they
                 can be adequately indicated by vital \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "70",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhang:2020:NMS,
  author =       "Shibo Zhang and Yuqi Zhao and Dzung Tri Nguyen and
                 Runsheng Xu and Sougata Sen and Josiah Hester and Nabil
                 Alshurafa",
  title =        "{NeckSense}: a Multi-Sensor Necklace for Detecting
                 Eating Activities in Free-Living Conditions",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "72:1--72:26",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397313",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:23:07 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3397313",
  abstract =     "We present the design, implementation, and evaluation
                 of a multi-sensor, low-power necklace, NeckSense, for
                 automatically and unobtrusively capturing fine-grained
                 information about an individual's eating activity and
                 eating episodes, across an entire \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "72",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bhattacharya:2020:CAA,
  author =       "Sourav Bhattacharya and Dionysis Manousakas and
                 Alberto Gil C. P. Ramos and Stylianos I. Venieris and
                 Nicholas D. Lane and Cecilia Mascolo",
  title =        "Countering Acoustic Adversarial Attacks in
                 Microphone-equipped Smart Home Devices",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "73:1--73:24",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397332",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:23:07 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3397332",
  abstract =     "Deep neural networks (DNNs) continue to demonstrate
                 superior generalization performance in an increasing
                 range of applications, including speech recognition and
                 image understanding. Recent innovations in compression
                 algorithms, design of efficient \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "73",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hu:2020:FCH,
  author =       "Fang Hu and Peng He and Songlin Xu and Yin Li and
                 Cheng Zhang",
  title =        "{FingerTrak}: Continuous {$3$D} Hand Pose Tracking by
                 Deep Learning Hand Silhouettes Captured by Miniature
                 Thermal Cameras on Wrist",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "2",
  pages =        "71:1--71:24",
  month =        jun,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3397306",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Sun Jul 12 11:33:41 MDT 2020",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/abs/10.1145/3397306",
  abstract =     "In this paper, we present FingerTrak, a
                 minimal-obtrusive wristband that enables continuous 3D
                 finger tracking and hand pose estimation with four
                 miniature thermal cameras mounted closely on a
                 form-fitting wristband. FingerTrak explores the
                 feasibility \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "71",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cha:2020:HTN,
  author =       "Narae Cha and Auk Kim and Cheul Young Park and Soowon
                 Kang and Mingyu Park and Jae-Gil Lee and Sangsu Lee and
                 Uichin Lee",
  title =        "Hello There! {Is} Now a Good Time to Talk?: Opportune
                 Moments for Proactive Interactions with Smart
                 Speakers",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "74:1--74:28",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411810",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411810",
  abstract =     "Increasing number of researchers and designers are
                 envisioning a wide range of novel proactive
                 conversational services for smart speakers such as
                 context-aware reminders and restocking household items.
                 When initiating conversational interactions \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "74",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2020:LYF,
  author =       "Huijie Chen and Fan Li and Wan Du and Song Yang and
                 Matthew Conn and Yu Wang",
  title =        "Listen to Your Fingers: User Authentication Based on
                 Geometry Biometrics of Touch Gesture",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "75:1--75:23",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411809",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411809",
  abstract =     "Inputting a pattern or PIN code on the touch screen is
                 a popular method to prevent unauthorized access to
                 mobile devices. However, these sensitive tokens are
                 highly susceptible to being inferred by various types
                 of side-channel attacks, which can \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "75",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2020:WYC,
  author =       "Zhilong Chen and Hancheng Cao and Huangdong Wang and
                 Fengli Xu and Vassilis Kostakos and Yong Li",
  title =        "Will You Come Back \slash Check-in Again?:
                 Understanding Characteristics Leading to Urban
                 Revisitation and Re-check-in",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "76:1--76:27",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411812",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411812",
  abstract =     "Recent years have witnessed much work unraveling human
                 mobility patterns through urban visitation and location
                 check-in data. Traditionally, user visitation and
                 check-in have been assumed as the same behavior, yet
                 this fundamental assumption can be \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "76",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Deldari:2020:EES,
  author =       "Shohreh Deldari and Daniel V. Smith and Amin Sadri and
                 Flora Salim",
  title =        "{ESPRESSO}: {Entropy and ShaPe awaRe timE-Series
                 SegmentatiOn} for Processing Heterogeneous Sensor
                 Data",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "77:1--77:24",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411832",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411832",
  abstract =     "Extracting informative and meaningful temporal
                 segments from high-dimensional wearable sensor data,
                 smart devices, or IoT data is a vital preprocessing
                 step in applications such as Human Activity Recognition
                 (HAR), trajectory prediction, gesture \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "77",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{DiLascio:2020:MSA,
  author =       "Elena {Di Lascio} and Shkurta Gashi and Juan Sebastian
                 Hidalgo and Beatrice Nale and Maike E. Debus and Silvia
                 Santini",
  title =        "A Multi-Sensor Approach to Automatically Recognize
                 Breaks and Work Activities of Knowledge Workers in
                 Academia",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "78:1--78:20",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411821",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411821",
  abstract =     "Personal informatics systems for the work environment
                 can help improving workers' well-being and
                 productivity. Using both self-reported data logged
                 manually by the users and information automatically
                 inferred from sensor measurements, such systems may
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "78",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2020:GPC,
  author =       "Nan Gao and Wei Shao and Mohammad Saiedur Rahaman and
                 Flora D. Salim",
  title =        "{$n$-Gage}: Predicting in-class Emotional, Behavioural
                 and Cognitive Engagement in the Wild",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "79:1--79:26",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411813",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411813",
  abstract =     "The study of student engagement has attracted growing
                 interests to address problems such as low academic
                 performance, disaffection, and high dropout rates.
                 Existing approaches to measuring student engagement
                 typically rely on survey-based instruments. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "79",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2020:EEA,
  author =       "Yang Gao and Yincheng Jin and Jiyang Li and Seokmin
                 Choi and Zhanpeng Jin",
  title =        "{EchoWhisper}: Exploring an Acoustic-based Silent
                 Speech Interface for Smartphone Users",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "80:1--80:27",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411830",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411830",
  abstract =     "With the rapid growth of artificial intelligence and
                 mobile computing, intelligent speech interface has
                 recently become one of the prevalent trends and has
                 already presented huge potentials to the public. To
                 address the privacy leakage issue during the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "80",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ikematsu:2020:SEI,
  author =       "Kaori Ikematsu and Shota Yamanaka",
  title =        "{ScraTouch}: Extending Interaction Technique Using
                 Fingernail on Unmodified Capacitive Touch Surfaces",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "81:1--81:19",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411831",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411831",
  abstract =     "We present ScraTouch, an interaction technique using
                 fingernails, as a new input modality by leveraging
                 capacitive touch sensing. Differentiating between
                 fingertip and fingernail touches requires only tens of
                 milliseconds worth of shunt current data \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "81",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Islam:2020:ZTS,
  author =       "Bashima Islam and Shahriar Nirjon",
  title =        "{Zygarde}: Time-Sensitive On-Device Deep Inference and
                 Adaptation on Intermittently-Powered Systems",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "82:1--82:29",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411808",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411808",
  abstract =     "We propose Zygarde --- which is an energy- and
                 accuracy-aware soft real-time task scheduling framework
                 for batteryless systems that flexibly execute deep
                 learning tasks1 that are suitable for running on
                 microcontrollers. The sporadic nature of harvested
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "82",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Janveja:2020:IMS,
  author =       "Ishani Janveja and Akshay Nambi and Shruthi Bannur and
                 Sanchit Gupta and Venkat Padmanabhan",
  title =        "{InSight}: Monitoring the State of the Driver in
                 Low-Light Using Smartphones",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "83:1--83:29",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411819",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411819",
  abstract =     "Road safety is a major public health issue across the
                 globe and over two-thirds of the road accidents occur
                 at nighttime under low-light conditions or darkness.
                 The state of the driver and her/his actions are the key
                 factors impacting road safety. How \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "83",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jiang:2020:SUD,
  author =       "Hongbo Jiang and Hangcheng Cao and Daibo Liu and Jie
                 Xiong and Zhichao Cao",
  title =        "{SmileAuth}: Using Dental Edge Biometrics for User
                 Authentication on Smartphones",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "84:1--84:24",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411806",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411806",
  abstract =     "User authentication is crucial for security and
                 privacy protection on smartphones. While a variety of
                 authentication schemes are available on smartphones,
                 security flaws have been continuously discovered.
                 Fingerprint films can deceive fingerprint \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "84",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kayukawa:2020:GBP,
  author =       "Seita Kayukawa and Tatsuya Ishihara and Hironobu
                 Takagi and Shigeo Morishima and Chieko Asakawa",
  title =        "Guiding Blind Pedestrians in Public Spaces by
                 Understanding Walking Behavior of Nearby Pedestrians",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "85:1--85:22",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411825",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411825",
  abstract =     "We present a guiding system to help blind people walk
                 in public spaces while making their walking seamless
                 with nearby pedestrians. Blind users carry a rolling
                 suitcase-shaped system that has two RGBD Cameras, an
                 inertial measurement unit (IMU) sensor, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "85",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2020:DME,
  author =       "Wonjung Kim and Seungchul Lee and Seonghoon Kim and
                 Sungbin Jo and Chungkuk Yoo and Inseok Hwang and
                 Seungwoo Kang and Junehwa Song",
  title =        "Dyadic Mirror: Everyday Second-person Live-view for
                 Empathetic Reflection upon Parent-child Interaction",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "86:1--86:29",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411815",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411815",
  abstract =     "A parent's capacity to understand the mental states of
                 both him/herself and the child is considered to play a
                 significant role in various aspects of parent-child
                 relationship-e.g., lowering parental stress and
                 supporting cognitive development of the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "86",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kwon:2020:IAE,
  author =       "Hyeokhyen Kwon and Catherine Tong and Harish
                 Haresamudram and Yan Gao and Gregory D. Abowd and
                 Nicholas D. Lane and Thomas Pl{\"o}tz",
  title =        "{IMUTube}: Automatic Extraction of Virtual on-body
                 Accelerometry from Video for Human Activity
                 Recognition",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "87:1--87:29",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411841",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411841",
  abstract =     "The lack of large-scale, labeled data sets impedes
                 progress in developing robust and generalized
                 predictive models for on-body sensor-based human
                 activity recognition (HAR). Labeled data in human
                 activity recognition is scarce and hard to come by, as
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "87",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lee:2020:WIC,
  author =       "Sunok Lee and Minji Cho and Sangsu Lee",
  title =        "What If Conversational Agents Became Invisible?:
                 Comparing Users' Mental Models According to Physical
                 Entity of {AI} Speaker",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "88:1--88:24",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411840",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411840",
  abstract =     "The popularity of conversational agents (CAs) in the
                 form of AI speakers that support ubiquitous smart homes
                 has increased because of their seamless interaction.
                 However, recent studies have revealed that the use of
                 AI speakers decreases over time, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "88",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2020:WPW,
  author =       "Shengjie Li and Zhaopeng Liu and Yue Zhang and Qin Lv
                 and Xiaopeng Niu and Leye Wang and Daqing Zhang",
  title =        "{WiBorder}: Precise {Wi-Fi} based Boundary Sensing via
                 Through-wall Discrimination",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "89:1--89:30",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411834",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411834",
  abstract =     "Recent research has shown great potential of
                 exploiting Channel State Information (CSI) retrieved
                 from commodity Wi-Fi devices for contactless human
                 sensing in smart homes. Despite much work on Wi-Fi
                 based indoor localization and motion/intrusion
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "89",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2020:HMS,
  author =       "Shengzhong Liu and Shuochao Yao and Yifei Huang and
                 Dongxin Liu and Huajie Shao and Yiran Zhao and Jinyang
                 Li and Tianshi Wang and Ruijie Wang and Chaoqi Yang and
                 Tarek Abdelzaher",
  title =        "Handling Missing Sensors in Topology-Aware {IoT}
                 Applications with Gated Graph Neural Network",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "90:1--90:31",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411818",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411818",
  abstract =     "Reliable data collection, transmission, and delivery
                 on Internet of Things (IoT) systems is crucial in order
                 to provide high-quality intelligent services. However,
                 sensor data delivery can be interrupted for various
                 reasons, such as sensor malfunction, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "90",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ma:2020:CCO,
  author =       "Yongsen Ma and Yunze Zeng and Vivek Jain",
  title =        "{CarOSense}: Car Occupancy Sensing with the
                 Ultra-Wideband Keyless Infrastructure",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "91:1--91:28",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411820",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411820",
  abstract =     "Ultra-Wideband (UWB) is a popular technology to
                 provide high accuracy localization, asset tracking and
                 access control applications. Due to the accurate
                 ranging feature and robustness to relay attacks, car
                 manufacturers are upgrading the keyless entry
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "91",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ott:2020:ODO,
  author =       "Felix Ott and Mohamad Wehbi and Tim Hamann and Jens
                 Barth and Bj{\"o}rn Eskofier and Christopher
                 Mutschler",
  title =        "The {OnHW} Dataset: Online Handwriting Recognition
                 from {IMU}-Enhanced Ballpoint Pens with Machine
                 Learning",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "92:1--92:20",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411842",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411842",
  abstract =     "This paper presents a handwriting recognition (HWR)
                 system that deals with online character recognition in
                 real-time. Our sensor-enhanced ballpoint pen delivers
                 sensor data streams from triaxial acceleration,
                 gyroscope, magnetometer and force signals at \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "92",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Park:2020:HAL,
  author =       "Jaeyeon Park and Hyeon Cho and Rajesh Krishna Balan
                 and JeongGil Ko",
  title =        "{HeartQuake}: Accurate Low-Cost Non-Invasive {ECG}
                 Monitoring Using Bed-Mounted Geophones",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "93:1--93:28",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411843",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411843",
  abstract =     "This work presents HeartQuake, a low cost, accurate,
                 non-intrusive, geophone-based sensing system for
                 extracting accurate electrocardiogram (ECG) patterns
                 using heartbeat vibrations that penetrate through a bed
                 mattress. In HeartQuake, cardiac activity-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "93",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Shahid:2020:LFH,
  author =       "Farhana Shahid and Wasifur Rahman and M. Saifur Rahman
                 and Sharmin Akther Purabi and Ayesha Seddiqa and Moin
                 Mostakim and Farhan Feroz and Tanjir Rashid Soron and
                 Fahmida Hossain and Nabila Khan and Anika Binte Islam
                 and Nipi Paul and Ehsan Hoque and A. B. M. Alim {Al
                 Islam}",
  title =        "Leveraging Free-Hand Sketches for Potential Screening
                 of {PTSD}",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "94:1--94:22",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411835",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411835",
  abstract =     "Post-traumatic stress disorder (PTSD) negatively
                 influences a person's ability to cope and increases
                 psychiatric morbidity. The existing diagnostic tools of
                 PTSD are often difficult to administer within
                 marginalized communities due to language and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "94",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Sharma:2020:ACP,
  author =       "Kshitij Sharma and Evangelos Niforatos and Michail
                 Giannakos and Vassilis Kostakos",
  title =        "Assessing Cognitive Performance Using Physiological
                 and Facial Features: Generalizing across Contexts",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "95:1--95:41",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411811",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411811",
  abstract =     "Sensing and machine learning advances have enabled the
                 unobtrusive measurement of physiological responses and
                 facial expressions so as to estimate one's cognitive
                 performance. This often boils down to mapping the
                 states of the cognitive processes \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "95",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Sun:2020:VRH,
  author =       "Wei Sun and Tuochao Chen and Jiayi Zheng and Zhenyu
                 Lei and Lucy Wang and Benjamin Steeper and Peng He and
                 Matthew Dressa and Feng Tian and Cheng Zhang",
  title =        "{VibroSense}: Recognizing Home Activities by Deep
                 Learning Subtle Vibrations on an Interior Surface of a
                 House from a Single Point Using Laser {Doppler}
                 Vibrometry",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "96:1--96:28",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411828",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411828",
  abstract =     "Smart homes of the future are envisioned to have the
                 ability to recognize many types of home activities such
                 as running a washing machine, flushing the toilet, and
                 using a microwave. In this paper, we present a new
                 sensing technology, VibroSense, which \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "96",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xia:2020:RUF,
  author =       "Qingxin Xia and Joseph Korpela and Yasuo Namioka and
                 Takuya Maekawa",
  title =        "Robust Unsupervised Factory Activity Recognition with
                 Body-worn Accelerometer Using Temporal Structure of
                 Multiple Sensor Data Motifs",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "97:1--97:30",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411836",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411836",
  abstract =     "This paper presents a robust unsupervised method for
                 recognizing factory work using sensor data from
                 body-worn acceleration sensors. In line-production
                 systems, each factory worker repetitively performs a
                 predefined work process with each process \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "97",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xu:2020:SSE,
  author =       "Fengli Xu and Zongyu Lin and Tong Xia and Diansheng
                 Guo and Yong Li",
  title =        "{SUME}: Semantic-enhanced Urban Mobility Network
                 Embedding for User Demographic Inference",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "98:1--98:25",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411807",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411807",
  abstract =     "Recent years have witnessed a rapid proliferation of
                 personalized mobile applications, which poses a
                 pressing need for accurate user demographics inference.
                 Facilitated by the prevalent smart devices, the
                 ubiquitously collected mobility trace presents a
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "98",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xu:2020:VPR,
  author =       "Shuchang Xu and Ciyuan Yang and Wenhao Ge and Chun Yu
                 and Yuanchun Shi",
  title =        "Virtual Paving: Rendering a Smooth Path for People
                 with Visual Impairment through Vibrotactile and Audio
                 Feedback",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "99:1--99:25",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411814",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411814",
  abstract =     "Tactile pavings are public works for visually impaired
                 people, designed to indicate a particular path to
                 follow by providing haptic cues underfoot. However,
                 they face many limitations such as installation errors,
                 obstructions, degradation, and limited \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "99",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yang:2020:ECS,
  author =       "Yu Yang and Zhihan Fang and Xiaoyang Xie and Fan Zhang
                 and Yunhuai Liu and Desheng Zhang",
  title =        "Extending Coverage of Stationary Sensing Systems with
                 Mobile Sensing Systems for Human Mobility Modeling",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "100:1--100:21",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411827",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411827",
  abstract =     "Human mobility modeling has many applications in
                 location-based services, mobile networking, city
                 management, and epidemiology. Previous sensing
                 approaches for human mobility are mainly categorized
                 into two types: stationary sensing systems \ldots{}.",
  acknowledgement = ack-nhfb,
  articleno =    "100",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yu:2020:SAS,
  author =       "Yue Yu and Tong Xia and Huandong Wang and Jie Feng and
                 Yong Li",
  title =        "Semantic-aware Spatio-temporal App Usage
                 Representation via Graph Convolutional Network",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "101:1--101:24",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411817",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411817",
  abstract =     "Recent years have witnessed a rapid proliferation of
                 personalized mobile Apps, which poses a pressing need
                 for user experience improvement. A promising solution
                 is to model App usage by learning semantic-aware App
                 usage representations which can capture \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "101",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zeng:2020:MEM,
  author =       "Youwei Zeng and Dan Wu and Jie Xiong and Jinyi Liu and
                 Zhaopeng Liu and Daqing Zhang",
  title =        "{MultiSense}: Enabling Multi-person Respiration
                 Sensing with Commodity {WiFi}",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "102:1--102:29",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411816",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411816",
  abstract =     "In recent years, we have seen efforts made to
                 simultaneously monitor the respiration of multiple
                 persons based on the channel state information (CSI)
                 retrieved from commodity WiFi devices. Existing
                 approaches mainly rely on spectral analysis of the CSI
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "102",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhang:2020:OTU,
  author =       "Dingtian Zhang and Jung Wook Park and Yang Zhang and
                 Yuhui Zhao and Yiyang Wang and Yunzhi Li and Tanvi
                 Bhagwat and Wen-Fang Chou and Xiaojia Jia and Bernard
                 Kippelen and Canek Fuentes-Hernandez and Thad Starner
                 and Gregory D. Abowd",
  title =        "{OptoSense}: Towards Ubiquitous Self-Powered Ambient
                 Light Sensing Surfaces",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "3",
  pages =        "103:1--103:27",
  month =        sep,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3411826",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:20:58 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3411826",
  abstract =     "Ubiquitous computing requires robust and sustainable
                 sensing techniques to detect users for explicit and
                 implicit inputs. Existing solutions with cameras can be
                 privacy-invasive. Battery-powered sensors require user
                 maintenance, preventing practical \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "103",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Abtahi:2020:UPP,
  author =       "Parastoo Abtahi and Victoria Ding and Anna C. Yang and
                 Tommy Bruzzese and Alyssa B. Romanos and Elizabeth L.
                 Murnane and Sean Follmer and James A. Landay",
  title =        "Understanding Physical Practices and the Role of
                 Technology in Manual Self-Tracking",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "115:1--115:24",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432236",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432236",
  abstract =     "Self-tracking practices enable users to record and
                 analyze their personal data. In recent years,
                 non-digital forms of manual self-tracking, such as
                 bullet journaling, have gained popularity. We conduct a
                 survey (N = 404) and follow-up interviews (N = 18).
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "115",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Alqahtani:2020:EGM,
  author =       "Deemah Alqahtani and Caroline Jay and Markel Vigo",
  title =        "The Effect of Goal Moderation on the Achievement and
                 Satisfaction of Physical Activity Goals",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "116:1--116:18",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432209",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432209",
  abstract =     "Many self-trackers lose interest in, disengage from
                 and ultimately withdraw from tracking. Reasons for this
                 include poor motivation, unmet expectations and
                 difficulty in attaining daily goals. To support users
                 in reflecting on their goals more \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "116",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bari:2020:ADS,
  author =       "Rummana Bari and Md. Mahbubur Rahman and Nazir
                 Saleheen and Megan Battles Parsons and Eugene H. Buder
                 and Santosh Kumar",
  title =        "Automated Detection of Stressful Conversations Using
                 Wearable Physiological and Inertial Sensors",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "117:1--117:23",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432210",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432210",
  abstract =     "Stressful conversation is a frequently occurring
                 stressor in our daily life. Stressors not only
                 adversely affect our physical and mental health but
                 also our relationships with family, friends, and
                 coworkers. In this paper, we present a model to
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "117",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Blair:2020:IDS,
  author =       "Johnna Blair and Saeed Abdullah",
  title =        "It Didn't Sound Good with My Cochlear Implants:
                 Understanding the Challenges of Using Smart Assistants
                 for Deaf and Hard of Hearing Users",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "118:1--118:27",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432194",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432194",
  abstract =     "How do deaf and hard of hearing (DHH) individuals use
                 smart assistants (SAs)? Does the prominent use of voice
                 interfaces in most SAs pose unique challenges for DHH
                 users? In this work, we aim to answer these questions
                 by conducting 4 in-depth interviews,. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "118",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Boldu:2020:AAW,
  author =       "Roger Boldu and Denys J. C. Matthies and Haimo Zhang
                 and Suranga Nanayakkara",
  title =        "{AiSee}: an Assistive Wearable Device to Support
                 Visually Impaired Grocery Shoppers",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "119:1--119:25",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432196",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432196",
  abstract =     "People with visual impairments (PVI) experience simple
                 tasks, such as grocery shopping, to be an essential
                 difficulty. Although the recent emergence of
                 AI-technology has been dramatically improving visual
                 recognition capabilities, the application to the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "119",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cai:2020:TRS,
  author =       "Hong Cai and Belal Korany and Chitra R. Karanam and
                 Yasamin Mostofi",
  title =        "Teaching {RF} to Sense without {RF} Training
                 Measurements",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "120:1--120:22",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432224",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432224",
  abstract =     "In this paper, we propose a novel, generalizable, and
                 scalable idea that eliminates the need for collecting
                 Radio Frequency (RF) measurements, when training RF
                 sensing systems for human-motion-related activities.
                 Existing learning-based RF sensing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "120",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chan:2020:PIR,
  author =       "Samantha W. T. Chan and Shardul Sapkota and Rebecca
                 Mathews and Haimo Zhang and Suranga Nanayakkara",
  title =        "Prompto: Investigating Receptivity to Prompts Based on
                 Cognitive Load from Memory Training Conversational
                 Agent",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "121:1--121:23",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432190",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432190",
  abstract =     "Prospective memory lapses, which involve forgetting to
                 perform intended actions, affect independent living in
                 older adults. Although memory training using smartphone
                 applications could address them, users are sometimes
                 unaware of available times for \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "121",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chauhan:2020:CCL,
  author =       "Jagmohan Chauhan and Young D. Kwon and Pan Hui and
                 Cecilia Mascolo",
  title =        "{ContAuth}: Continual Learning Framework for
                 Behavioral-based User Authentication",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "122:1--122:23",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432203",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432203",
  abstract =     "User authentication is key in user authorization on
                 smart and personal devices. Over the years, several
                 authentication mechanisms have been proposed: these
                 also include behavioral-based biometrics. However,
                 behavioral-based biometrics suffer from two \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "122",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Constantinides:2020:CPM,
  author =       "Marios Constantinides and Sanja S{\'c}epanovi{\'c} and
                 Daniele Quercia and Hongwei Li and Ugo Sassi and
                 Michael Eggleston",
  title =        "{ComFeel}: Productivity is a Matter of the Senses
                 Too",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "123:1--123:21",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432234",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432234",
  abstract =     "Indoor environmental quality has been found to impact
                 employees' productivity in the long run, yet it is
                 unclear its meeting-level impact in the short term. We
                 studied the relationship between sensorial pleasantness
                 of a meeting's room and the meeting's \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "123",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Coppers:2020:FIP,
  author =       "Sven Coppers and Davy Vanacken and Kris Luyten",
  title =        "{FORTNIoT}: Intelligible Predictions to Improve User
                 Understanding of Smart Home Behavior",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "124:1--124:24",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432225",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432225",
  abstract =     "Ubiquitous environments, such as smart homes, are
                 becoming more intelligent and autonomous. As a result,
                 their behavior becomes harder to grasp and unintended
                 behavior becomes more likely. Researchers have
                 contributed tools to better understand and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "124",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Elsayed:2020:VUS,
  author =       "Hesham Elsayed and Martin Weigel and Florian
                 M{\"u}ller and Martin Schmitz and Karola Marky and
                 Sebastian G{\"u}nther and Jan Riemann and Max
                 M{\"u}hlh{\"a}user",
  title =        "{VibroMap}: Understanding the Spacing of Vibrotactile
                 Actuators across the Body",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "125:1--125:16",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432189",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432189",
  abstract =     "In spite of the great potential of on-body
                 vibrotactile displays for a variety of applications,
                 research lacks an understanding of the spacing between
                 vibrotactile actuators. Through two experiments, we
                 systematically investigate vibrotactile perception
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "125",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Epstein:2020:MTS,
  author =       "Daniel A. Epstein and Clara Caldeira and Mayara Costa
                 Figueiredo and Xi Lu and Lucas M. Silva and Lucretia
                 Williams and Jong Ho Lee and Qingyang Li and Simran
                 Ahuja and Qiuer Chen and Payam Dowlatyari and Craig
                 Hilby and Sazeda Sultana and Elizabeth V. Eikey and
                 Yunan Chen",
  title =        "Mapping and Taking Stock of the Personal Informatics
                 Literature",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "126:1--126:38",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432231",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432231",
  abstract =     "The research community on the study and design of
                 systems for personal informatics has grown over the
                 past decade. To take stock of what the topics the field
                 has studied and methods the field has used, we map and
                 label 523 publications from ACM's \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "126",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ge:2020:ASB,
  author =       "Linfei Ge and Qian Zhang and Jin Zhang and Qianyi
                 Huang",
  title =        "Acoustic Strength-based Motion Tracking",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "127:1--127:19",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432215",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432215",
  abstract =     "Accurate device motion tracking enables many
                 applications like Virtual Reality (VR) and Augmented
                 Reality (AR). To make these applications available in
                 people's daily life, low-cost acoustic-based motion
                 tracking methods are proposed. However, existing
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "127",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gu:2020:QTE,
  author =       "Yizheng Gu and Chun Yu and Zhipeng Li and Zhaoheng Li
                 and Xiaoying Wei and Yuanchun Shi",
  title =        "{QwertyRing}: Text Entry on Physical Surfaces Using a
                 Ring",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "128:1--128:29",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432204",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432204",
  abstract =     "The software keyboard is widely used on digital
                 devices such as smartphones, computers, and tablets.
                 The software keyboard operates via touch, which is
                 efficient, convenient, and familiar to users. However,
                 some emerging technology devices such as AR/VR
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "128",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hafiz:2020:WCT,
  author =       "Pegah Hafiz and Kamilla Woznica Miskowiak and Alban
                 Maxhuni and Lars Vedel Kessing and Jakob Eyvind
                 Bardram",
  title =        "Wearable Computing Technology for Assessment of
                 Cognitive Functioning of Bipolar Patients and Healthy
                 Controls",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "129:1--129:22",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432219",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432219",
  abstract =     "Mobile cognitive tests have been emerged to first,
                 bring the assessments outside the clinics and second,
                 frequently measure individuals' cognitive performance
                 in their free-living environment. Patients with Bipolar
                 Disorder (BD) suffer from cognitive \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "129",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{He:2020:ADU,
  author =       "Liang He and Yuanchao Shu and Youngmoon Lee and
                 Dongyao Chen and Kang G. Shin",
  title =        "Authenticating Drivers Using Automotive Batteries",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "130:1--130:27",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432198",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432198",
  abstract =     "Automakers have been improving, or even trying to
                 replace, key-based driver authentication solutions,
                 owing to their vulnerability to cyber attacks and
                 single-point-of-failures, as well as their inability of
                 driver identification. In line with this \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "130",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hiremath:2020:DEH,
  author =       "Shruthi K. Hiremath and Thomas Pl{\"o}tz",
  title =        "Deriving Effective Human Activity Recognition Systems
                 through Objective Task Complexity Assessment",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "131:1--131:24",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432227",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432227",
  abstract =     "Research in sensor based human activity recognition
                 (HAR) has been a core concern of the mobile and
                 ubiquitous computing community. Sophisticated systems
                 have been developed with the main view on applications
                 of HAR methods in research settings. This \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "131",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hu:2020:SDH,
  author =       "Yuhan Hu and Sara Maria Bejarano and Guy Hoffman",
  title =        "{ShadowSense}: Detecting Human Touch in a Social Robot
                 Using Shadow Image Classification",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "132:1--132:24",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432202",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432202",
  abstract =     "This paper proposes and evaluates the use of image
                 classification for detailed, full-body human-robot
                 tactile interaction. A camera positioned below a
                 translucent robot skin captures shadows generated from
                 human touch and infers social gestures from the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "132",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jin:2020:AAA,
  author =       "Wenqiang Jin and Mingyan Xiao and Huadi Zhu and
                 Shuchisnigdha Deb and Chen Kan and Ming Li",
  title =        "Acoussist: an Acoustic Assisting Tool for People with
                 Visual Impairments to Cross Uncontrolled Streets",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "133:1--133:30",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432216",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432216",
  abstract =     "To cross uncontrolled roadways, where no
                 traffic-halting signal devices are present, pedestrians
                 with visual impairments must rely on their other senses
                 to detect oncoming vehicles and estimate the correct
                 crossing interval in order to avoid potentially
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "133",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2020:UUC,
  author =       "Inyeop Kim and Hwarang Goh and Nematjon Narziev and
                 Youngtae Noh and Uichin Lee",
  title =        "Understanding User Contexts and Coping Strategies for
                 Context-aware Phone Distraction Management System
                 Design",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "134:1--134:33",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432213",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432213",
  abstract =     "Smartphones are often distraction for everyday life
                 activities. In this work, we envision designing a
                 context-aware system that helps users better manage
                 smartphone distractions. This system design requires us
                 to have an in-depth understanding of users' \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "134",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kortbeek:2020:BEB,
  author =       "Vito Kortbeek and Abu Bakar and Stefany Cruz and Kasim
                 Sinan Yildirim and Przemys{\l}aw Pawe{\l}czak and
                 Josiah Hester",
  title =        "{BFree}: Enabling Battery-free Sensor Prototyping with
                 {Python}",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "135:1--135:39",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432191",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432191",
  abstract =     "Building and programming tiny battery-free energy
                 harvesting embedded computer systems is hard for the
                 average maker because of the lack of tools, hard to
                 comprehend programming models, and frequent power
                 failures. With the high ecologic cost of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "135",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Krasovec:2020:QYT,
  author =       "Andraz Krasovec and Daniel Pellarini and Dimitrios
                 Geneiatakis and Gianmarco Baldini and Veljko
                 Pejovi{\'c}",
  title =        "Not Quite Yourself Today: Behaviour-Based Continuous
                 Authentication in {IoT} Environments",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "136:1--136:29",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432206",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432206",
  abstract =     "The shortcomings of the traditional password-based
                 authentication mechanism are becoming increasingly
                 apparent as we transition from ``one user --- one
                 device'' to a richer ``multiple users --- multiple
                 devices'' computing paradigm. The currently dominant
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "136",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kumar:2020:AUC,
  author =       "Abhishek Kumar and Tristan Braud and Young D. Kwon and
                 Pan Hui",
  title =        "{Aquilis}: Using Contextual Integrity for Privacy
                 Protection on Mobile Devices",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "137:1--137:28",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432205",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432205",
  abstract =     "Smartphones are nowadays the dominant end-user device.
                 As a result, they have become gateways to all users'
                 communications, including sensitive personal data. In
                 this paper, we present Aquilis, a privacy-preserving
                 system for mobile platforms following \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "137",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lin:2020:HSF,
  author =       "Zongyu Lin and Shiqing Lyu and Hancheng Cao and Fengli
                 Xu and Yuqiong Wei and Hanan Samet and Yong Li",
  title =        "{HealthWalks}: Sensing Fine-grained Individual Health
                 Condition via Mobility Data",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "138:1--138:26",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432229",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432229",
  abstract =     "Can health conditions be inferred from an individual's
                 mobility pattern? Existing research has discussed the
                 relationship between individual physical
                 activity/mobility and well-being, yet no systematic
                 study has been done to investigate the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "138",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2020:PPP,
  author =       "Bingyan Liu and Yuanchun Li and Yunxin Liu and Yao Guo
                 and Xiangqun Chen",
  title =        "{PMC}: a Privacy-preserving Deep Learning Model
                 Customization Framework for Edge Computing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "139:1--139:25",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432208",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432208",
  abstract =     "Deep learning models have been deployed to a wide
                 range of edge devices. Since the data distribution on
                 edge devices may differ from the cloud where the model
                 was trained, it is typically desirable to customize the
                 model for each edge device to improve \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "139",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2020:RTA,
  author =       "Haipeng Liu and Yuheng Wang and Anfu Zhou and Hanyue
                 He and Wei Wang and Kunpeng Wang and Peilin Pan and
                 Yixuan Lu and Liang Liu and Huadong Ma",
  title =        "Real-time Arm Gesture Recognition in Smart Home
                 Scenarios via Millimeter Wave Sensing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "140:1--140:28",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432235",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432235",
  abstract =     "``In air'' gesture recognition using millimeter wave
                 (mmWave) radar and its applications in natural
                 human-computer-interaction for smart home has shown its
                 potential. However, the state-of-the-art works still
                 fall short in terms of limited gesture space,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "140",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2020:BTD,
  author =       "Song Liu and Tian He",
  title =        "{BitLight}: Turning {DLP} Projections into an
                 Interactive Surface through Bit-level Light Encoding",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "141:1--141:23",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432228",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432228",
  abstract =     "This paper presents BitLight, a novel paradigm that
                 uses the rapid flashing of a digital light processing
                 (DLP) projector to encode an imperceptible mask
                 temporally that, when sensed by a photodiode, uniquely
                 specifies where the photodiode is located on \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "141",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mao:2020:DAR,
  author =       "Wenguang Mao and Wei Sun and Mei Wang and Lili Qiu",
  title =        "{DeepRange}: Acoustic Ranging via Deep Learning",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "143:1--143:23",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432195",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432195",
  abstract =     "Acoustic ranging is a technique for estimating the
                 distance between two objects using acoustic signals,
                 which plays a critical role in many applications, such
                 as motion tracking, gesture/activity recognition, and
                 indoor localization. Although many \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "143",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mazankiewicz:2020:IRT,
  author =       "Alan Mazankiewicz and Klemens B{\"o}hm and Mario
                 Berges",
  title =        "Incremental Real-Time Personalization in Human
                 Activity Recognition Using Domain Adaptive Batch
                 Normalization",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "144:1--144:20",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432230",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432230",
  abstract =     "Human Activity Recognition (HAR) from devices like
                 smartphone accelerometers is a fundamental problem in
                 ubiquitous computing. Machine learning based
                 recognition models often perform poorly when applied to
                 new users that were not part of the training \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "144",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{McDonald:2020:KSD,
  author =       "Denisa Qori McDonald and Richard Vallett and Erin
                 Solovey and Genevi{\`e}ve Dion and Ali Shokoufandeh",
  title =        "Knitted Sensors: Designs and Novel Approaches for
                 Real-Time, Real-World Sensing",
  journal =      j-IMWUT,
  volume =       "4",
  number =       "4",
  pages =        "145:1--145:25",
  month =        dec,
  year =         "2020",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3432201",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:01 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3432201",
  abstract =     "Recent work has shown the feasibility of producing
                 knitted capacitive touch sensors through digital
                 fabrication with little human intervention in the
                 textile production process. Such sensors can be
                 designed and manufactured at scale and require only two
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "145",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Abedin:2021:ADB,
  author =       "Alireza Abedin and Mahsa Ehsanpour and Qinfeng Shi and
                 Hamid Rezatofighi and Damith C. Ranasinghe",
  title =        "Attend and Discriminate: Beyond the State-of-the-Art
                 for Human Activity Recognition Using Wearable Sensors",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "1:1--1:22",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448083",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448083",
  abstract =     "Wearables are fundamental to improving our
                 understanding of human activities, especially for an
                 increasing number of healthcare applications from
                 rehabilitation to fine-grained gait analysis. Although
                 our collective know-how to solve Human Activity
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "1",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Adaimi:2021:OGW,
  author =       "Rebecca Adaimi and Howard Yong and Edison Thomaz",
  title =        "{Ok Google}, What Am {I} Doing?: Acoustic Activity
                 Recognition Bounded by Conversational Assistant
                 Interactions",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "2:1--2:24",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448090",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448090",
  abstract =     "Conversational assistants in the form of stand-alone
                 devices such as Amazon Echo and Google Home have become
                 popular and embraced by millions of people. By serving
                 as a natural interface to services ranging from home
                 automation to media players, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "2",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{An:2021:VSB,
  author =       "Kecheng An and Qian Zhang and Elaine Kwong",
  title =        "{ViscoCam}: Smartphone-based Drink Viscosity Control
                 Assistant for Dysphagia Patients",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "3:1--3:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448109",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448109",
  abstract =     "Dysphagia patients need to carefully control their
                 intake liquid's viscosity to reduce choking and
                 aspiration risks. However, accurate liquid viscosity
                 measurement requires expensive rheometers still
                 unavailable in daily life. Though the existing
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "3",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bedogni:2021:MMI,
  author =       "Luca Bedogni and Shakila Khan Rumi and Flora D.
                 Salim",
  title =        "Modelling Memory for Individual Re-identification in
                 Decentralised Mobile Contact Tracing Applications",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "4:1--4:21",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448088",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448088",
  abstract =     "In 2020 the coronavirus outbreak changed the lives of
                 people worldwide. After an initial time period in which
                 it was unclear how to battle the virus, social
                 distancing has been recognised globally as an effective
                 method to mitigate the disease spread. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "4",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Buda:2021:OSS,
  author =       "Teodora Sandra Buda and Mohammed Khwaja and Aleksandar
                 Matic",
  title =        "Outliers in Smartphone Sensor Data Reveal Outliers in
                 Daily Happiness",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "5:1--5:19",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448095",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448095",
  abstract =     "Enabling smartphones to understand our emotional
                 well-being provides the potential to create
                 personalised applications and highly responsive
                 interfaces. However, this is by no means a trivial task
                 --- subjectivity in reporting emotions impacts the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "5",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Carson:2021:IES,
  author =       "Iain Carson and Aaron Quigley and Loraine Clarke and
                 Uta Hinrichs",
  title =        "Investigating the Effect of Sensory Concurrency on
                 Learning Haptic Spatiotemporal Signals",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "6:1--6:30",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448102",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448102",
  abstract =     "A new generation of multimodal interfaces and
                 interactions is emerging. Drawing on the principles of
                 Sensory Substitution and Augmentation Devices (SSADs),
                 these new interfaces offer the potential for rich,
                 immersive human-computer interactions, but are
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "6",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Duan:2021:FDR,
  author =       "Chunhui Duan and Jiajun Liu and Xuan Ding and Zhenhua
                 Li and Yunhao Liu",
  title =        "Full-Dimension Relative Positioning for {RFID}-Enabled
                 Self-Checkout Services",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "7:1--7:23",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448094",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448094",
  abstract =     "Self-checkout services in today's retail stores are
                 well received as they set free the labor force of
                 cashiers and shorten conventional checkout lines.
                 However, existing self-checkout options either require
                 customers to scan items one by one, which is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "7",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Farrukh:2021:SSC,
  author =       "Habiba Farrukh and Tinghan Yang and Hanwen Xu and
                 Yuxuan Yin and He Wang and Z. Berkay Celik",
  title =        "{S3}: Side-Channel Attack on Stylus Pencil through
                 Sensors",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "8:1--8:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448085",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448085",
  abstract =     "With smart devices being an essential part of our
                 everyday lives, unsupervised access to the mobile
                 sensors' data can result in a multitude of side-channel
                 attacks. In this paper, we study potential data leaks
                 from Apple Pencil (2nd generation) \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "8",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Feng:2021:RIN,
  author =       "Chao Feng and Jie Xiong and Liqiong Chang and Fuwei
                 Wang and Ju Wang and Dingyi Fang",
  title =        "{RF-Identity}: Non-Intrusive Person Identification
                 Based on Commodity {RFID} Devices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "9:1--9:23",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448101",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448101",
  abstract =     "Person identification plays a critical role in a large
                 range of applications. Recently, RF based person
                 identification becomes a hot research topic due to the
                 contact-free nature of RF sensing that is particularly
                 appealing in current COVID-19 pandemic. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "9",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Foo:2021:UEM,
  author =       "Esther W. Foo and Lucy E. Dunne and Brad Holschuh",
  title =        "User Expectations and Mental Models for Communicating
                 Emotions through Compressive \& Warm Affective Garment
                 Actuation",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "10:1--10:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448097",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448097",
  abstract =     "Wearable haptic garments for communicating emotions
                 have great potential in various applications, including
                 supporting social interactions, improving immersive
                 experiences in entertainment, or simply as a research
                 tool. Shape-memory alloys (SMAs) are an \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "10",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gan:2021:YWQ,
  author =       "Yanglei Gan and Tianyi Wang and Alireza Javaheri and
                 Elaheh Momeni-Ortner and Milad Dehghani and Mehdi
                 Hosseinzadeh and Reza Rawassizadeh",
  title =        "11 Years with Wearables: Quantitative Analysis of
                 Social Media, Academia, News Agencies, and Lead User
                 Community from 2009--2020 on Wearable Technologies",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "11:1--11:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448096",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448096",
  abstract =     "The role of wearable technology in our daily lives is
                 rapidly growing and many users are cumulatively
                 becoming dependent on it. To provide insight into the
                 future of wearable technologies and various community
                 attitudes towards them, we implemented an \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "11",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2021:VES,
  author =       "Yang Gao and Yincheng Jin and Jagmohan Chauhan and
                 Seokmin Choi and Jiyang Li and Zhanpeng Jin",
  title =        "Voice In Ear: Spoofing-Resistant and
                 Passphrase-Independent Body Sound Authentication",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "12:1--12:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448113",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448113",
  abstract =     "With the rapid growth of wearable computing and
                 increasing demand for mobile authentication scenarios,
                 voiceprint-based authentication has become one of the
                 prevalent technologies and has already presented
                 tremendous potentials to the public. However,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "12",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Guo:2021:PPI,
  author =       "Yeting Guo and Fang Liu and Zhiping Cai and Hui Zeng
                 and Li Chen and Tongqing Zhou and Nong Xiao",
  title =        "{PREFER}: Point-of-interest {REcommendation} with
                 efficiency and privacy-preservation via Federated Edge
                 {leaRning}",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "13:1--13:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448099",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448099",
  abstract =     "Point-of-Interest (POI) recommendation is significant
                 in location-based social networks to help users
                 discover new locations of interest. Previous studies on
                 such recommendation mainly adopted a centralized
                 learning framework where check-in data were \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "13",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{deGuzman:2021:USP,
  author =       "Jaybie Agullo de Guzman and Aruna Seneviratne and
                 Kanchana Thilakarathna",
  title =        "Unravelling Spatial Privacy Risks of Mobile Mixed
                 Reality Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "14:1--14:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448103",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448103",
  abstract =     "Previously, 3D data---particularly, spatial
                 data---have primarily been utilized in the field of
                 geo-spatial analyses, or robot navigation (e.g.
                 self-automated cars) as 3D representations of
                 geographical or terrain data (usually extracted from
                 lidar). \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "14",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Hirsch:2021:SSE,
  author =       "Linda Hirsch and Christina Schneegass and Robin Welsch
                 and Andreas Butz",
  title =        "To See or Not to See: Exploring Inattentional
                 Blindness for the Design of Unobtrusive Interfaces in
                 Shared Public Places",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "15:1--15:25",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448123",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448123",
  abstract =     "People visit public places with different intentions
                 and motivations. While some explore it carefully,
                 others may just want to pass or are otherwise engaged.
                 We investigate how to exploit the inattentional
                 blindness (IB) of indirect users in the design
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "15",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jones:2021:DLA,
  author =       "Simon L. Jones and William Hue and Ryan M. Kelly and
                 Rosemarie Barnett and Violet Henderson and Raj
                 Sengupta",
  title =        "Determinants of Longitudinal Adherence in
                 Smartphone-Based Self-Tracking for Chronic Health
                 Conditions: Evidence from Axial Spondyloarthritis",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "16:1--16:24",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448093",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448093",
  abstract =     "The use of interactive mobile and wearable
                 technologies for understanding and managing health
                 conditions is a growing area of interest for patients,
                 health professionals and researchers. Self-tracking
                 technologies such as smartphone apps and wearable
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "16",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2021:RTB,
  author =       "Daeyong Kim and Junick Ahn and Jun Shin and Hojung
                 Cha",
  title =        "Ray Tracing-based Light Energy Prediction for Indoor
                 Batteryless Sensors",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "17:1--17:27",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448086",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448086",
  abstract =     "Light energy harvesting is a valuable technique for
                 batteryless sensors located indoors. A key challenge is
                 finding the right locations to deploy sensors to
                 provide sufficient harvesting capability. A
                 trial-and-error approach or energy prediction method
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "17",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kim:2021:BNI,
  author =       "Minhyung Kim and Inyeop Kim and Uichin Lee",
  title =        "Beneficial Neglect: Instant Message Notification
                 Handling Behaviors and Academic Performance",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "18:1--18:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448089",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448089",
  abstract =     "Smartphone notifications inform users of events to
                 prompt timely engagement. However, there are growing
                 concerns about messaging behaviors in schools because
                 frequent in-class checking and responding may hinder
                 students' learning. This study analyzed a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "18",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Koch:2021:WDD,
  author =       "Kevin Koch and Varun Mishra and Shu Liu and Thomas
                 Berger and Elgar Fleisch and David Kotz and Felix
                 Wortmann",
  title =        "When Do Drivers Interact with In-Vehicle Well-being
                 Interventions?: an Exploratory Analysis of a
                 Longitudinal Study on Public Roads",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "19:1--19:30",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448116",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448116",
  abstract =     "Recent developments of novel in-vehicle interventions
                 show the potential to transform the otherwise routine
                 and mundane task of commuting into opportunities to
                 improve the drivers' health and well-being. Prior
                 research has explored the effectiveness of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "19",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kolamunna:2021:DAS,
  author =       "Harini Kolamunna and Thilini Dahanayaka and Junye Li
                 and Suranga Seneviratne and Kanchana Thilakaratne and
                 Albert Y. Zomaya and Aruna Seneviratne",
  title =        "{DronePrint}: Acoustic Signatures for Open-set Drone
                 Detection and Identification with Online Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "20:1--20:31",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448115",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448115",
  abstract =     "With the ubiquitous availability of drones, they are
                 adopted benignly in multiple applications such as
                 cinematography, surveying, and legal goods delivery.
                 Nonetheless, they are also being used for
                 reconnaissance, invading personal or secure spaces,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "20",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2021:CAL,
  author =       "Xinyi Li and Liqiong Chang and Fangfang Song and Ju
                 Wang and Xiaojiang Chen and Zhanyong Tang and Zheng
                 Wang",
  title =        "{CrossGR}: Accurate and Low-cost Cross-target Gesture
                 Recognition Using {Wi-Fi}",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "21:1--21:23",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448100",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448100",
  abstract =     "This paper focuses on a fundamental question in
                 Wi-Fi-based gesture recognition: ``Can we use the
                 knowledge learned from some users to perform gesture
                 recognition for others?''. This problem is also known
                 as cross-target recognition. It arises in many
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "21",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lin:2021:TFO,
  author =       "Georgianna Lin and Malcolm Haynes and Sarthak Srinivas
                 and Pramod Kotipalli and Thad Starner",
  title =        "Towards Finding the Optimum Position in the Visual
                 Field for a Head Worn Display Used for Task Guidance
                 with Non-registered Graphics",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "22:1--22:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448091",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448091",
  abstract =     "Where should a HWD be placed in a user's visual field?
                 We present two studies that compare comfort,
                 preference, task efficiency and accuracy for various
                 HWD positions. The first study offsets a 9.2${}^\circ $
                 horizontal field-of-view (FOV) display temporally
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "22",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2021:WSB,
  author =       "Jinyi Liu and Youwei Zeng and Tao Gu and Leye Wang and
                 Daqing Zhang",
  title =        "{WiPhone}: Smartphone-based Respiration Monitoring
                 Using Ambient Reflected {WiFi} Signals",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "23:1--23:19",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448092",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448092",
  abstract =     "Recent years have witnessed a trend of monitoring
                 human respiration using Channel State Information (CSI)
                 retrieved from commodity WiFi devices. Existing
                 approaches essentially leverage signal propagation in a
                 Line-of-Sight (LoS) setting to achieve good \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "23",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2021:ACA,
  author =       "Sicong Liu and Bin Guo and Ke Ma and Zhiwen Yu and
                 Junzhao Du",
  title =        "{AdaSpring}: Context-adaptive and Runtime-evolutionary
                 Deep Model Compression for Mobile Applications",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "24:1--24:22",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448125",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448125",
  abstract =     "There are many deep learning (e.g. DNN) powered mobile
                 and wearable applications today continuously and
                 unobtrusively sensing the ambient surroundings to
                 enhance all aspects of human lives. To enable robust
                 and private mobile sensing, DNN tends to be \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "24",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2021:SEE,
  author =       "Xin Liu and Yuang Li and Josh Fromm and Yuntao Wang
                 and Ziheng Jiang and Alex Mariakakis and Shwetak
                 Patel",
  title =        "{SplitSR}: an End-to-End Approach to Super-Resolution
                 on Mobile Devices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "25:1--25:20",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448104",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448104",
  abstract =     "Super-resolution (SR) is a coveted image processing
                 technique for mobile apps ranging from the basic camera
                 apps to mobile health. Existing SR algorithms rely on
                 deep learning models with significant memory
                 requirements, so they have yet to be deployed
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "25",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Meegahapola:2021:OMB,
  author =       "Lakmal Meegahapola and Salvador Ruiz-Correa and
                 Viridiana del Carmen Robledo-Valero and Emilio Ernesto
                 Hernandez-Huerfano and Leonardo Alvarez-Rivera and
                 Ronald Chenu-Abente and Daniel Gatica-Perez",
  title =        "One More Bite?: Inferring Food Consumption Level of
                 College Students Using Smartphone Sensing and
                 Self-Reports",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "26:1--26:28",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448120",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448120",
  abstract =     "While the characterization of food consumption level
                 has been extensively studied in nutrition and
                 psychology research, advancements in passive smartphone
                 sensing have not been fully utilized to complement
                 mobile food diaries in characterizing food \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "26",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Palipana:2021:PMA,
  author =       "Sameera Palipana and Dariush Salami and Luis A. Leiva
                 and Stephan Sigg",
  title =        "Pantomime: Mid-Air Gesture Recognition with Sparse
                 Millimeter-Wave Radar Point Clouds",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "27:1--27:27",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448110",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448110",
  abstract =     "We introduce Pantomime, a novel mid-air gesture
                 recognition system exploiting spatio-temporal
                 properties of millimeter-wave radio frequency (RF)
                 signals. Pantomime is positioned in a unique region of
                 the RF landscape: mid-resolution mid-range high-.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "27",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Pan:2021:ESE,
  author =       "Yan Pan and Shining Li and Qianwu Chen and Nan Zhang
                 and Tao Cheng and Zhigang Li and Bin Guo and Qingye Han
                 and Ting Zhu",
  title =        "Efficient Schedule of Energy-Constrained {UAV} Using
                 Crowdsourced Buses in Last-Mile Parcel Delivery",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "28:1--28:23",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448079",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448079",
  abstract =     "Stimulated by the dramatical service demand in the
                 logistics industry, logistics trucks employed in
                 last-mile parcel delivery bring critical public
                 concerns, such as heavy cost burden, traffic congestion
                 and air pollution. Unmanned Aerial Vehicles (UAVs).
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "28",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Park:2021:DEM,
  author =       "Chunjong Park and Hung Ngo and Libby Rose Lavitt and
                 Vincent Karuri and Shiven Bhatt and Peter
                 Lubell-Doughtie and Anuraj H. Shankar and Leonard
                 Ndwiga and Victor Osoti and Juliana K. Wambua and
                 Philip Bejon and Lynette Isabella Ochola-Oyier and
                 Monique Chilver and Nigel Stocks and Victoria Lyon and
                 Barry R. Lutz and Matthew Thompson and Alex Mariakakis
                 and Shwetak Patel",
  title =        "The Design and Evaluation of a Mobile System for Rapid
                 Diagnostic Test Interpretation",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "29:1--29:26",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448106",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448106",
  abstract =     "Rapid diagnostic tests (RDTs) provide point-of-care
                 medical screening without the need for expensive
                 laboratory equipment. RDTs are theoretically
                 straightforward to use, yet their analog colorimetric
                 output leaves room for diagnostic uncertainty and
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "29",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ram:2021:LTE,
  author =       "Ashwin Ram and Shengdong Zhao",
  title =        "{LSVP}: Towards Effective On-the-go Video Learning
                 Using Optical Head-Mounted Displays",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "1",
  pages =        "30:1--30:27",
  month =        mar,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448118",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Tue Mar 30 18:21:03 MDT 2021",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448118",
  abstract =     "The ubiquity of mobile phones allows video content to
                 be watched on the go. However, users' current on-the-go
                 video learning experience on phones is encumbered by
                 issues of toggling and managing attention between the
                 video and surroundings, as informed \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "30",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xie:2021:ABU,
  author =       "Wentao Xie and Qian Zhang and Jin Zhang",
  title =        "Acoustic-based Upper Facial Action Recognition for
                 Smart Eyewear",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "41:1--41:28",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3448105",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3448105",
  abstract =     "Smart eyewear (e.g., AR glasses) is considered to be
                 the next big breakthrough for wearable devices. The
                 interaction of state-of-the-art smart eyewear mostly
                 relies on the touchpad which is obtrusive and not
                 user-friendly. In this work, we propose a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "41",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Adler:2021:IMS,
  author =       "Daniel A. Adler and Vincent W.-S. Tseng and Gengmo Qi
                 and Joseph Scarpa and Srijan Sen and Tanzeem
                 Choudhury",
  title =        "Identifying Mobile Sensing Indicators of
                 Stress-Resilience",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "51:1--51:32",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463528",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463528",
  abstract =     "Resident physicians (residents) experiencing prolonged
                 workplace stress are at risk of developing mental
                 health symptoms. Creating novel, unobtrusive measures
                 of resilience would provide an accessible approach to
                 evaluate symptom susceptibility without \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "51",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ahuja:2021:CUM,
  author =       "Karan Ahuja and Eyal Ofek and Mar Gonzalez-Franco and
                 Christian Holz and Andrew D. Wilson",
  title =        "\pkg{CoolMoves}: User Motion Accentuation in Virtual
                 Reality",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "52:1--52:23",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463499",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463499",
  abstract =     "Current Virtual Reality (VR) systems are bereft of
                 stylization and embellishment of the user's motion ---
                 concepts that have been well explored in animations for
                 games and movies. We present CooIMoves, a system for
                 expressive and accentuated full-body \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "52",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Akther:2021:MIB,
  author =       "Sayma Akther and Nazir Saleheen and Mithun Saha and
                 Vivek Shetty and Santosh Kumar",
  title =        "\pkg{mTeeth}: Identifying Brushing Teeth Surfaces
                 Using Wrist-Worn Inertial Sensors",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "53:1--53:25",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463494",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463494",
  abstract =     "Ensuring that all the teeth surfaces are adequately
                 covered during daily brushing can reduce the risk of
                 several oral diseases. In this paper, we propose the
                 mTeeth model to detect teeth surfaces being brushed
                 with a manual toothbrush in the natural \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "53",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Barman:2021:EBM,
  author =       "Ludovic Barman and Alexandre Dumur and Apostolos
                 Pyrgelis and Jean-Pierre Hubaux",
  title =        "Every Byte Matters: Traffic Analysis of {Bluetooth}
                 Wearable Devices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "54:1--54:45",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463512",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463512",
  abstract =     "Wearable devices such as smartwatches, fitness
                 trackers, and blood-pressure monitors process, store,
                 and communicate sensitive and personal information
                 related to the health, life-style, habits and interests
                 of the wearer. This data is typically \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "54",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cai:2021:WHY,
  author =       "Chao Cai and Henglin Pu and Peng Wang and Zhe Chen and
                 Jun Luo",
  title =        "We Hear Your {PACE}: Passive Acoustic Localization of
                 Multiple Walking Persons",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "55:1--55:24",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463510",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463510",
  abstract =     "Indoor localization is crucial to enable context-aware
                 applications, but existing solutions mostly require a
                 user to carry a device, so as to actively sense
                 location-discriminating signals. However, many
                 applications do not prefer user involvement due
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "55",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chang:2021:MAA,
  author =       "Yuhu Chang and Yingying Zhao and Mingzhi Dong and
                 Yujiang Wang and Yutian Lu and Qin Lv and Robert P.
                 Dick and Tun Lu and Ning Gu and Li Shang",
  title =        "\pkg{MemX}: an Attention-Aware Smart Eyewear System
                 for Personalized Moment Auto-capture",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "56:1--56:23",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463509",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463509",
  abstract =     "This work presents MemX: a biologically-inspired
                 attention-aware eyewear system developed with the goal
                 of pursuing the long-awaited vision of a personalized
                 visual Memex. MemX captures human visual attention on
                 the fly, analyzes the salient visual \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "56",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2021:UUV,
  author =       "Longbiao Chen and Chenhui Lu and Fangxu Yuan and
                 Zhihan Jiang and Leye Wang and Daqing Zhang and
                 Ruixiang Luo and Xiaoliang Fan and Cheng Wang",
  title =        "\pkg{UVLens}: Urban Village Boundary Identification
                 and Population Estimation Leveraging Open Government
                 Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "57:1--57:26",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463495",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463495",
  abstract =     "Urban villages refer to the residential areas lagging
                 behind the rapid urbanization process in many
                 developing countries. These areas are usually with
                 overcrowded buildings, high population density, and low
                 living standards, bringing potential risks of
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "57",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2021:NCT,
  author =       "Tuochao Chen and Yaxuan Li and Songyun Tao and
                 Hyunchul Lim and Mose Sakashita and Ruidong Zhang and
                 Francois Guimbretiere and Cheng Zhang",
  title =        "\pkg{NeckFace}: Continuously Tracking Full Facial
                 Expressions on Neck-mounted Wearables",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "58:1--58:31",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463511",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463511",
  abstract =     "Facial expressions are highly informative for
                 computers to understand and interpret a person's mental
                 and physical activities. However, continuously tracking
                 facial expressions, especially when the user is in
                 motion, is challenging. This paper presents \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "58",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2021:ADS,
  author =       "Xianda Chen and Yifei Xiao and Yeming Tang and Julio
                 Fernandez-Mendoza and Guohong Cao",
  title =        "\pkg{ApneaDetector}: Detecting Sleep Apnea with
                 Smartwatches",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "59:1--59:22",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463514",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463514",
  abstract =     "Sleep apnea is a sleep disorder in which breathing is
                 briefly and repeatedly interrupted. Polysomnography
                 (PSG) is the standard clinical test for diagnosing
                 sleep apnea. However, it is expensive and
                 time-consuming which requires hospital visits,
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "59",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Donchev:2021:IRP,
  author =       "Rumen Donchev and Erik Pescara and Michael Beigl",
  title =        "Investigating Retention in Passive Haptic Learning of
                 Piano Songs",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "60:1--60:14",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463513",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463513",
  abstract =     "Passive haptic learning (PHL) is a phenomenon where
                 one is able to acquire new motor skills through
                 repeated haptic stimuli applied to the body without
                 paying active attention to learning. In the following
                 work, we investigated the retention of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "60",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2021:TPI,
  author =       "Ruiyang Gao and Mi Zhang and Jie Zhang and Yang Li and
                 Enze Yi and Dan Wu and Leye Wang and Daqing Zhang",
  title =        "Towards Position-Independent Sensing for Gesture
                 Recognition with {Wi-Fi}",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "61:1--61:28",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463504",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463504",
  abstract =     "Past decades have witnessed the extension of the Wi-Fi
                 signals as a useful tool sensing human activities. One
                 common assumption behind it is that there is a
                 one-to-one mapping between human activities and Wi-Fi
                 received signal patterns. However, this \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "61",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gong:2021:RIM,
  author =       "Jian Gong and Xinyu Zhang and Yuanjun Huang and Ju Ren
                 and Yaoxue Zhang",
  title =        "Robust Inertial Motion Tracking through Deep Sensor
                 Fusion across Smart Earbuds and Smartphone",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "62:1--62:26",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463517",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463517",
  abstract =     "IMU based inertial tracking plays an indispensable
                 role in many mobility centric tasks, such as robotic
                 control, indoor navigation and virtual reality gaming.
                 Despite its mature application in rigid machine
                 mobility (e.g., robot and aircraft), tracking
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "62",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Goodman:2021:TUD,
  author =       "Steven M. Goodman and Ping Liu and Dhruv Jain and Emma
                 J. McDonnell and Jon E. Froehlich and Leah Findlater",
  title =        "Toward User-Driven Sound Recognizer Personalization
                 with People Who Are d\slash Deaf or Hard of Hearing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "63:1--63:23",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463501",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463501",
  abstract =     "Automated sound recognition tools can be a useful
                 complement to d/Deaf and hard of hearing (DHH) people's
                 typical communication and environmental awareness
                 strategies. Pre-trained sound recognition models,
                 however, may not meet the diverse needs of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "63",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Han:2021:WWS,
  author =       "Zhenyu Han and Haohao Fu and Fengli Xu and Zhen Tu and
                 Yang Yu and Pan Hui and Yong Li",
  title =        "Who Will Survive and Revive Undergoing the Epidemic:
                 Analyses about {POI} Visit Behavior in {Wuhan} via
                 Check-in Records",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "64:1--64:20",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463525",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463525",
  abstract =     "A rapid-spreading epidemic of COVID-19 hit China at
                 the end of 2019, resulting in unignorable social and
                 economic damage in the epicenter, Wuhan. POIs capture
                 the microscopic behavior of citizens, providing
                 valuable information to understand city \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "64",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Haresamudram:2021:CPC,
  author =       "Harish Haresamudram and Irfan Essa and Thomas
                 Pl{\"o}tz",
  title =        "Contrastive Predictive Coding for Human Activity
                 Recognition",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "65:1--65:26",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463506",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463506",
  abstract =     "Feature extraction is crucial for human activity
                 recognition (HAR) using body-worn movement sensors.
                 Recently, learned representations have been used
                 successfully, offering promising alternatives to
                 manually engineered features. Our work focuses on
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "65",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jiang:2021:DCP,
  author =       "Chutian Jiang and Yanjun Chen and Mingming Fan and
                 Liuping Wang and Luyao Shen and Nianlong Li and Wei Sun
                 and Yu Zhang and Feng Tian and Teng Han",
  title =        "\pkg{Douleur}: Creating Pain Sensation with Chemical
                 Stimulant to Enhance User Experience in Virtual
                 Reality",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "66:1--66:26",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463527",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463527",
  abstract =     "The imitation of pain sensation in Virtual Reality is
                 considered valuable for safety education and training
                 but has been seldom studied. This paper presents
                 Douleur, a wearable haptic device that renders
                 intensity-adjustable pain sensations with \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "66",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jin:2021:SAB,
  author =       "Yincheng Jin and Yang Gao and Yanjun Zhu and Wei Wang
                 and Jiyang Li and Seokmin Choi and Zhangyu Li and
                 Jagmohan Chauhan and Anind K. Dey and Zhanpeng Jin",
  title =        "\pkg{SonicASL}: an Acoustic-based Sign Language
                 Gesture Recognizer Using Earphones",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "67:1--67:30",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463519",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463519",
  abstract =     "We propose SonicASL, a real-time gesture recognition
                 system that can recognize sign language gestures on the
                 fly, leveraging front-facing microphones and speakers
                 added to commodity earphones worn by someone facing the
                 person making the gestures. In a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "67",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Khalfoun:2021:EEL,
  author =       "Besma Khalfoun and Sonia {Ben Mokhtar} and Sara
                 Bouchenak and Vlad Nitu",
  title =        "\pkg{EDEN}: Enforcing Location Privacy through
                 Re-identification Risk Assessment: a Federated Learning
                 Approach",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "68:1--68:25",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463502",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463502",
  abstract =     "Crowd sensing applications have demonstrated their
                 usefulness in many real-life scenarios (e.g., air
                 quality monitoring, traffic and noise monitoring).
                 Preserving the privacy of crowd sensing app users is
                 becoming increasingly important as the collected
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "68",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kuoppamaki:2021:DKT,
  author =       "Sanna Kuoppam{\"a}ki and Sylvaine Tuncer and Sara
                 Eriksson and Donald McMillan",
  title =        "Designing Kitchen Technologies for Ageing in Place: a
                 Video Study of Older Adults' Cooking at Home",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "69:1--69:19",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463516",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463516",
  abstract =     "Assistive technologies can significantly increase
                 older adults' independent living if these technologies
                 are designed to meet their needs and abilities. This
                 study investigates conditions and present possibilities
                 for assistive technology to provide \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "69",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lambrichts:2021:STE,
  author =       "Mannu Lambrichts and Raf Ramakers and Steve Hodges and
                 Sven Coppers and James Devine",
  title =        "A Survey and Taxonomy of Electronics Toolkits for
                 Interactive and Ubiquitous Device Prototyping",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "70:1--70:24",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463523",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463523",
  abstract =     "Over the past two decades, many toolkits for
                 prototyping interactive and ubiquitous electronic
                 devices have been developed. Although their technical
                 specifications are often easy to look up, they vary
                 greatly in terms of design, features and target
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "70",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lee:2021:AUJ,
  author =       "Jinmo Lee and Neska Elhaouij and Rosalind Picard",
  title =        "\pkg{AmbientBreath}: Unobtrusive Just-in-time
                 Breathing Intervention Using Multi-sensory Stimulation
                 and its Evaluation in a Car Simulator",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "71:1--71:30",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463493",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463493",
  abstract =     "To promote calm breathing inside a car, we designed a
                 just-in-time breathing intervention stimulated by
                 multi-sensory feedback and evaluated its efficacy in a
                 driving simulator. Efficacy was measured via reduction
                 in breathing rate as well as by user \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "71",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lin:2021:DML,
  author =       "Yuancan Lin and Lei Xie and Chuyu Wang and Yanling Bu
                 and Sanglu Lu",
  title =        "\pkg{DropMonitor}: Millimeter-level Sensing for
                 {RFID}-based Infusion Drip Rate Monitoring",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "72:1--72:22",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463496",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463496",
  abstract =     "As an important indicator of the infusion monitoring
                 for clinical treatment, the drip rate is expected to be
                 monitored in an accurate and real-time manner. However,
                 state-of-the-art drip rate monitoring schemes either
                 suffer from high maintenance or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "72",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2021:BLY,
  author =       "Jialin Liu and Dong Li and Lei Wang and Jie Xiong",
  title =        "\pkg{BlinkListener}: ``Listen'' to Your Eye Blink
                 Using Your Smartphone",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "73:1--73:27",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463521",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463521",
  abstract =     "Eye blink detection plays a key role in many real-life
                 applications such as Human-Computer Interaction (HCI),
                 drowsy driving prevention and eye disease detection.
                 Although traditional camera-based techniques are
                 promising, multiple issues hinder their \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "73",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mishra:2021:DRM,
  author =       "Varun Mishra and Florian K{\"u}nzler and Jan-Niklas
                 Kramer and Elgar Fleisch and Tobias Kowatsch and David
                 Kotz",
  title =        "Detecting Receptivity for {mHealth} Interventions in
                 the Natural Environment",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "74:1--74:24",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463492",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463492",
  abstract =     "Just-In-Time Adaptive Intervention (JITAI) is an
                 emerging technique with great potential to support
                 health behavior by providing the right type and amount
                 of support at the right time. A crucial aspect of
                 JITAIs is properly timing the delivery of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "74",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Mohammed:2021:SCF,
  author =       "Noor Mohammed and Rui Wang and Robert W. Jackson and
                 Yeonsik Noh and Jeremy Gummeson and Sunghoon Ivan Lee",
  title =        "\pkg{ShaZam}: Charge-Free Wearable Devices via
                 Intra-Body Power Transfer from Everyday Objects",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "75:1--75:25",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463505",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463505",
  abstract =     "In this work, we investigate a wireless power transfer
                 technology that can unobtrusively charge wearable
                 devices while users interact with everyday objects,
                 such as an office desk, laptop, or car. We design and
                 develop our solution, ShaZam, that \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "75",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Paredes:2021:FEE,
  author =       "Luis Paredes and Sai Swarup Reddy and Subramanian
                 Chidambaram and Devashri Vagholkar and Yunbo Zhang and
                 Bedrich Benes and Karthik Ramani",
  title =        "\pkg{FabHandWear}: an End-to-End Pipeline from Design
                 to Fabrication of Customized Functional Hand
                 Wearables",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "76:1--76:22",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463518",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463518",
  abstract =     "Current hand wearables have limited customizability,
                 they are loose-fit to an individual's hand and lack
                 comfort. The main barrier in customizing hand wearables
                 is the geometric complexity and size variation in
                 hands. Moreover, there are different \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "76",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Park:2021:ERT,
  author =       "HyeonJung Park and Youngki Lee and JeongGil Ko",
  title =        "Enabling Real-time Sign Language Translation on Mobile
                 Platforms with On-board Depth Cameras",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "77:1--77:30",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463498",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463498",
  abstract =     "In this work we present SUGO, a depth video-based
                 system for translating sign language to text using a
                 smartphone's front camera. While exploiting depth-only
                 videos offer benefits such as being less
                 privacy-invasive compared to using RGB videos, it
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "77",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Shen:2021:IFP,
  author =       "Meng Shen and Yaqian Wei and Zelin Liao and Liehuang
                 Zhu",
  title =        "\pkg{IriTrack}: Face Presentation Attack Detection
                 Using {Iris} Tracking",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "78:1--78:21",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463515",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463515",
  abstract =     "With a growing adoption of face authentication systems
                 in various application scenarios, face Presentation
                 Attack Detection (PAD) has become of great importance
                 to withstand artefacts. Existing methods of face PAD
                 generally focus on designing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "78",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Songwa:2021:LLE,
  author =       "Prince U. C. Songwa and Aaqib Saeed and Sachin
                 Bhardwaj and Thijs W. Kruisselbrink and Tanir
                 Ozcelebi",
  title =        "\pkg{LumNet}: Learning to Estimate Vertical Visual
                 Field Luminance for Adaptive Lighting Control",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "2",
  pages =        "79:1--79:20",
  month =        jun,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3463500",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:19 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3463500",
  abstract =     "High-quality lighting positively influences visual
                 performance in humans. The experienced visual
                 performance can be measured using desktop luminance and
                 hence several lighting control systems have been
                 developed for its quantification. However, the
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "79",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bakar:2021:RFD,
  author =       "Abu Bakar and Alexander G. Ross and Kasim Sinan
                 Yildirim and Josiah Hester",
  title =        "\pkg{REHASH}: a Flexible, Developer Focused, Heuristic
                 Adaptation Platform for Intermittently Powered
                 Computing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "87:1--87:42",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478077",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478077",
  abstract =     "Battery-free sensing devices harvest energy from their
                 surrounding environment to perform sensing,
                 computation, and communication. This enables previously
                 impossible applications in the Internet-of-Things. A
                 core challenge for these devices is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "87",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Barbosa:2021:WDP,
  author =       "Nat{\~a} M. Barbosa and Gang Wang and Blase Ur and
                 Yang Wang",
  title =        "Who Am {I}?: a Design Probe Exploring Real-Time
                 Transparency about Online and Offline User Profiling
                 Underlying Targeted {Ads}",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "88:1--88:32",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478122",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478122",
  abstract =     "To enable targeted ads, companies profile Internet
                 users, automatically inferring potential interests and
                 demographics. While current profiling centers on users'
                 web browsing data, smartphones and other devices with
                 rich sensing capabilities portend \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "88",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Barrios:2021:SBT,
  author =       "Liliana Barrios and Pietro Oldrati and Marc Hilty and
                 David Lindlbauer and Christian Holz and Andreas
                 Lutterotti",
  title =        "Smartphone-Based Tapping Frequency as a Surrogate for
                 Perceived Fatigue: an in-the-Wild Feasibility Study in
                 Multiple Sclerosis Patients",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "89:1--89:30",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478098",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478098",
  abstract =     "Fatigue is a common symptom in various diseases,
                 including multiple sclerosis (MS). The current standard
                 method to assess fatigue is through questionnaires,
                 which has several shortcomings; questionnaires are
                 subjective, prone to recall bias, and \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "89",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bartolome:2021:GCI,
  author =       "Abigail Bartolome and Sahaj Shah and Temiloluwa
                 Prioleau",
  title =        "\pkg{GlucoMine}: a Case for Improving the Use of
                 Wearable Device Data in Diabetes Management",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "90:1--90:24",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478109",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478109",
  abstract =     "The growing popularity of wearable devices for
                 continuous sensing has made personal health data
                 increasingly available, yet methods for data
                 interpretation are still a work in progress. This paper
                 investigates potential under-utilization of wearable
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "90",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2021:SWN,
  author =       "Wenqiang Chen and Shupei Lin and Elizabeth Thompson
                 and John Stankovic",
  title =        "\pkg{SenseCollect}: We Need Efficient Ways to Collect
                 On-body Sensor-based Human Activity Data!",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "91:1--91:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478119",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478119",
  abstract =     "On-body sensor-based human activity recognition (HAR)
                 lags behind other fields because it lacks large-scale,
                 labeled datasets; this shortfall impedes progress in
                 developing robust and generalized predictive models. To
                 facilitate researchers in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "91",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cheng:2021:DAL,
  author =       "Tingyu Cheng and Bu Li and Yang Zhang and Yunzhi Li
                 and Charles Ramey and Eui Min Jung and Yepu Cui and Sai
                 Ganesh Swaminathan and Youngwook Do and Manos Tentzeris
                 and Gregory D. Abowd and HyunJoo Oh",
  title =        "\pkg{Duco}: Autonomous Large-Scale
                 Direct-Circuit-Writing {(DCW)} on Vertical Everyday
                 Surfaces Using A Scalable Hanging Plotter",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "92:1--92:25",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478118",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478118",
  abstract =     "Human environments are filled with large open spaces
                 that are separated by structures like walls, facades,
                 glass windows, etc. Most often, these structures are
                 largely passive offering little to no interactivity. In
                 this paper, we present Duco, a large-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "92",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chwalek:2021:CSE,
  author =       "Patrick Chwalek and David Ramsay and Joseph A.
                 Paradiso",
  title =        "\pkg{Captivates}: a Smart Eyeglass Platform for
                 Across-Context Physiological Measurement",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "93:1--93:32",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478079",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478079",
  abstract =     "We present Captivates, an open-source smartglasses
                 system designed for long-term, in-the-wild
                 psychophysiological monitoring at scale. Captivates
                 integrate many underutilized physiological sensors in a
                 streamlined package, including temple and nose
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "93",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Colley:2021:HSA,
  author =       "Mark Colley and Svenja Krauss and Mirjam Lanzer and
                 Enrico Rukzio",
  title =        "How Should Automated Vehicles Communicate Critical
                 Situations?: a Comparative Analysis of Visualization
                 Concepts",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "94:1--94:23",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478111",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478111",
  abstract =     "Passengers of automated vehicles will likely engage in
                 non-driving related activities like reading and,
                 therefore, be disengaged from the driving task.
                 However, especially in critical situations such as
                 unexpected pedestrian crossings, it can be assumed
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "94",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ding:2021:RRJ,
  author =       "Han Ding and Linwei Zhai and Cui Zhao and Songjiang
                 Hou and Ge Wang and Wei Xi and Jizhong Zhao and Yihong
                 Gong",
  title =        "\pkg{RF-ray}: Joint {RF} and Linguistics Domain
                 Learning for Object Recognition",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "96:1--96:24",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478115",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478115",
  abstract =     "This paper presents a non-invasive design, namely
                 RF-ray, to recognize the shape and material of an
                 object simultaneously. RF-ray puts the object
                 approximate to an RFID tag array, and explores the
                 propagation effect as well as coupling effect between
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "96",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ding:2021:CWC,
  author =       "Yi Ding and Baoshen Guo and Lin Zheng and Mingming Lu
                 and Desheng Zhang and Shuai Wang and Sang Hyuk Son and
                 Tian He",
  title =        "A City-Wide Crowdsourcing Delivery System with
                 Reinforcement Learning",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "97:1--97:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478117",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478117",
  abstract =     "The revolution of online shopping in recent years
                 demands corresponding evolution in delivery services in
                 urban areas. To cater to this trend, delivery by the
                 crowd has become an alternative to the traditional
                 delivery services thanks to the advances in \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "97",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Dunbar:2021:SLA,
  author =       "Julia C. Dunbar and Emily Bascom and Ashley Boone and
                 Alexis Hiniker",
  title =        "Is Someone Listening?: Audio-Related Privacy
                 Perceptions and Design Recommendations from Guardians,
                 Pragmatists, and Cynics",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "98:1--98:23",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478091",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478091",
  abstract =     "Smart devices with the capability to record audio can
                 create a trade-off for users between convenience and
                 privacy. To understand how users experience this
                 trade-off, we report on data from 35 interview, focus
                 group, and design workshop participants. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "98",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Falcao:2021:ISA,
  author =       "Jo{\~a}o Diogo Falc{\~a}o and Carlos Ruiz and Adeola
                 Bannis and Hae Young Noh and Pei Zhang",
  title =        "\pkg{ISACS}: In-Store Autonomous Checkout System for
                 Retail",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "99:1--99:26",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478086",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478086",
  abstract =     "90\% of retail sales occur in physical stores. In
                 these physical stores 40\% of shoppers leave the store
                 based on the wait time. Autonomous stores can remove
                 customer waiting time by providing a receipt without
                 the need for scanning the items. Prior \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "99",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Fang:2021:CHM,
  author =       "Zhihan Fang and Yu Yang and Guang Yang and Yikuan Xian
                 and Fan Zhang and Desheng Zhang",
  title =        "\pkg{CellSense}: Human Mobility Recovery via Cellular
                 Network Data Enhancement",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "100:1--100:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478087",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478087",
  abstract =     "Data from the cellular network have been proved as one
                 of the most promising way to understand large-scale
                 human mobility for various ubiquitous computing
                 applications due to the high penetration of cellphones
                 and low collection cost. Existing mobility \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "100",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gong:2021:RVS,
  author =       "Jian Gong and Xinyu Zhang and Kaixin Lin and Ju Ren
                 and Yaoxue Zhang and Wenxun Qiu",
  title =        "\pkg{RF} Vital Sign Sensing under Free Body Movement",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "101:1--101:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478090",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478090",
  abstract =     "Radio frequency (RF) sensors such as radar are
                 instrumental for continuous, contactless sensing of
                 vital signs, especially heart rate (HR) and respiration
                 rate (RR). However, decades of related research mainly
                 focused on static subjects, because the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "101",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gullapalli:2021:OWB,
  author =       "Bhanu Teja Gullapalli and Stephanie Carreiro and
                 Brittany P. Chapman and Deepak Ganesan and Jan Sjoquist
                 and Tauhidur Rahman",
  title =        "\pkg{OpiTrack}: a Wearable-based Clinical Opioid Use
                 Tracker with Temporal Convolutional Attention
                 Networks",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "102:1--102:29",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478107",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478107",
  abstract =     "Opioid use disorder is a medical condition with major
                 social and economic consequences. While ubiquitous
                 physiological sensing technologies have been widely
                 adopted and extensively used to monitor day-to-day
                 activities and deliver targeted interventions
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "102",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ha:2021:WCS,
  author =       "Unsoo Ha and Sohrab Madani and Fadel Adib",
  title =        "\pkg{WiStress}: Contactless Stress Monitoring Using
                 Wireless Signals",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "103:1--103:37",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478121",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478121",
  abstract =     "Stress plays a critical role in our lives, impacting
                 our productivity and our long-term physiological and
                 psychological well-being. This has motivated the
                 development of stress monitoring solutions to better
                 understand stress, its impact on productivity
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "103",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Huang:2021:MHS,
  author =       "Huiqun Huang and Xi Yang and Suining He",
  title =        "Multi-Head Spatio-Temporal Attention Mechanism for
                 Urban Anomaly Event Prediction",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "104:1--104:21",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478099",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478099",
  abstract =     "Timely forecasting the urban anomaly events in advance
                 is of great importance to the city management and
                 planning. However, anomaly event prediction is highly
                 challenging due to the sparseness of data, geographic
                 heterogeneity (e.g., complex spatial \ldots{})",
  acknowledgement = ack-nhfb,
  articleno =    "104",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Islam:2021:SSL,
  author =       "Md. Rabiul Islam and Shuji Sakamoto and Yoshihiro
                 Yamada and Andrew W. Vargo and Motoi Iwata and Masakazu
                 Iwamura and Koichi Kise",
  title =        "Self-supervised Learning for Reading Activity
                 Classification",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "105:1--105:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478088",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478088",
  abstract =     "Reading analysis can relay information about user's
                 confidence and habits and can be used to construct
                 useful feedback. A lack of labeled data inhibits the
                 effective application of fully-supervised Deep Learning
                 (DL) for automatic reading analysis. We \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "105",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jia:2021:SUF,
  author =       "Hong Jia and Jiawei Hu and Wen Hu",
  title =        "\pkg{SwingNet}: Ubiquitous Fine-Grained Swing Tracking
                 Framework via Stochastic Neural Architecture Search and
                 Adversarial Learning",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "106:1--106:21",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478082",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478082",
  abstract =     "Sports analytics in the wild (i.e., ubiquitously) is a
                 thriving industry. Swing tracking is a key feature in
                 sports analytics. Therefore, a centimeter-level
                 tracking resolution solution is required. Recent
                 research has explored deep neural networks for
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "106",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jiang:2021:AAO,
  author =       "Dongzhe Jiang and Yi Ding and Hao Zhang and Yunhuai
                 Liu and Tian He and Yu Yang and Desheng Zhang",
  title =        "\pkg{ALWAES}: an Automatic Outdoor Location-Aware
                 Correction System for Online Delivery Platforms",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "107:1--107:24",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478081",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478081",
  abstract =     "For an online delivery platform, accurate physical
                 locations of merchants are essential for delivery
                 scheduling. It is challenging to maintain tens of
                 thousands of merchant locations accurately because of
                 potential errors introduced by merchants for \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "107",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jiang:2021:DFG,
  author =       "Hongbo Jiang and Jingyang Hu and Daibo Liu and Jie
                 Xiong and Mingjie Cai",
  title =        "\pkg{DriverSonar}: Fine-Grained Dangerous Driving
                 Detection Using Active Sonar",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "108:1--108:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478084",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478084",
  abstract =     "Dangerous driving due to drowsiness and distraction is
                 the main cause of traffic accidents, resulting in
                 casualties and economic loss. There is an urgent need
                 to address this problem by accurately detecting
                 dangerous driving behaviors and generating \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "108",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Jung:2021:LSQ,
  author =       "Woosub Jung and Amanda Watson and Scott Kuehn and Erik
                 Korem and Ken Koltermann and Minglong Sun and
                 Shuangquan Wang and Zhenming Liu and Gang Zhou",
  title =        "\pkg{LAX-Score}: Quantifying Team Performance in
                 Lacrosse and Exploring {IMU} Features towards
                 Performance Enhancement",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "109:1--109:28",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478076",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478076",
  abstract =     "For the past several decades, machine learning has
                 played an important role in sports science with regard
                 to player performance and result prediction. However,
                 it is still challenging to quantify team-level game
                 performance because there is no strong \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "109",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kakaraparthi:2021:FSF,
  author =       "Vimal Kakaraparthi and Qijia Shao and Charles J.
                 Carver and Tien Pham and Nam Bui and Phuc Nguyen and
                 Xia Zhou and Tam Vu",
  title =        "\pkg{FaceSense}: Sensing Face Touch with an Ear-worn
                 System",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "110:1--110:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478129",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478129",
  abstract =     "Face touch is an unconscious human habit. Frequent
                 touching of sensitive/mucosal facial zones (eyes, nose,
                 and mouth) increases health risks by passing pathogens
                 into the body and spreading diseases. Furthermore,
                 accurate monitoring of face touch is \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "110",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Kwon:2021:ARW,
  author =       "Hyeokhyen Kwon and Bingyao Wang and Gregory D. Abowd
                 and Thomas Pl{\"o}tz",
  title =        "Approaching the Real-World: Supporting Activity
                 Recognition Training with Virtual {IMU} Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "111:1--111:32",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478096",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478096",
  abstract =     "Recently, IMUTube introduced a paradigm change for
                 bootstrapping human activity recognition (HAR) systems
                 for wearables. The key idea is to utilize videos of
                 activities to support training activity recognizers
                 based on inertial measurement units (IMUs). \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "111",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Li:2021:HAG,
  author =       "Tianshi Li and Elijah B. Neundorfer and Yuvraj Agarwal
                 and Jason I. Hong",
  title =        "\pkg{Honeysuckle}: Annotation-Guided Code Generation
                 of In-App Privacy Notices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "112:1--112:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478097",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478097",
  abstract =     "In-app privacy notices can help smartphone users make
                 informed privacy decisions. However, they are rarely
                 used in real-world apps, since developers often lack
                 the knowledge, time, and resources to design and
                 implement them well. We present Honeysuckle, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "112",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lian:2021:ESY,
  author =       "Jie Lian and Jiadong Lou and Li Chen and Xu Yuan",
  title =        "\pkg{EchoSpot}: Spotting Your Locations via Acoustic
                 Sensing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "113:1--113:21",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478095",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478095",
  abstract =     "Indoor localization has played a significant role in
                 facilitating a collection of emerging applications in
                 the past decade. This paper presents a novel indoor
                 localization solution via inaudible acoustic sensing,
                 called EchoSpot, which relies on only \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "113",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Lian:2021:FDI,
  author =       "Jie Lian and Xu Yuan and Ming Li and Nian-Feng Tzeng",
  title =        "Fall Detection via Inaudible Acoustic Sensing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "114:1--114:21",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478094",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478094",
  abstract =     "The fall detection system is of critical importance in
                 protecting elders through promptly discovering fall
                 accidents to provide immediate medical assistance,
                 potentially saving elders' lives. This paper aims to
                 develop a novel and lightweight fall \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "114",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liang:2021:DES,
  author =       "Chen Liang and Chun Yu and Yue Qin and Yuntao Wang and
                 Yuanchun Shi",
  title =        "\pkg{DualRing}: Enabling Subtle and Expressive Hand
                 Interaction with Dual {IMU} Rings",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "115:1--115:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478114",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478114",
  abstract =     "We present DualRing, a novel ring-form input device
                 that can capture the state and movement of the user's
                 hand and fingers. With two IMU rings attached to the
                 user's thumb and index finger, DualRing can sense not
                 only the absolute hand gesture relative \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "115",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liang:2021:FLC,
  author =       "Yumeng Liang and Anfu Zhou and Huanhuan Zhang and
                 Xinzhe Wen and Huadong Ma",
  title =        "\pkg{FG-LiquID}: a Contact-less Fine-grained Liquid
                 Identifier by Pushing the Limits of Millimeter-wave
                 Sensing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "116:1--116:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478075",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478075",
  abstract =     "Contact-less liquid identification via wireless
                 sensing has diverse potential applications in our daily
                 life, such as identifying alcohol content in liquids,
                 distinguishing spoiled and fresh milk, and even
                 detecting water contamination. Recent works \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "116",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2021:ECE,
  author =       "Shu Liu and Kevin Koch and Zimu Zhou and Simon
                 F{\"o}ll and Xiaoxi He and Tina Menke and Elgar Fleisch
                 and Felix Wortmann",
  title =        "The Empathetic Car: Exploring Emotion Inference via
                 Driver Behaviour and Traffic Context",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "117:1--117:34",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478078",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed Mar 2 07:36:22 MST 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478078",
  abstract =     "An empathetic car that is capable of reading the
                 driver's emotions has been envisioned by many car
                 manufacturers. Emotion inference enables in-vehicle
                 applications to improve driver comfort, well-being, and
                 safety. Available emotion inference approaches
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "117",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Liu:2021:WHW,
  author =       "Yang Liu and Chengdong Lin and Zhenjiang Li",
  title =        "{WR-Hand}: Wearable Armband Can Track {User}'s Hand",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "118:1--118:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478112",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478112",
  abstract =     "This paper presents WR-Hand, a wearable-based system
                 tracking 3D hand pose of 14 hand skeleton points over
                 time using Electromyography (EMG) and gyroscope sensor
                 data from commercial armband. This system provides a
                 significant leap in wearable sensing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "118",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Long:2021:VFD,
  author =       "Yan Long and Alexander Curtiss and Sara Rampazzi and
                 Josiah Hester and Kevin Fu",
  title =        "{VeriMask}: Facilitating Decontamination of {N95}
                 Masks in the {COVID-19} Pandemic: Challenges, Lessons
                 Learned, and Safeguarding the Future",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "119:1--119:29",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478105",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478105",
  abstract =     "The US CDC has recognized moist-heat as one of the
                 most effective and accessible methods of
                 decontaminating N95 masks for reuse in response to the
                 persistent N95 mask shortages caused by the COVID-19
                 pandemic. However, it is challenging to reliably
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "119",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Malekzadeh:2021:DDA,
  author =       "Mohammad Malekzadeh and Richard Clegg and Andrea
                 Cavallaro and Hamed Haddadi",
  title =        "{DANA}: Dimension-Adaptive Neural Architecture for
                 Multivariate Sensor Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "120:1--120:27",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478074",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478074",
  abstract =     "Motion sensors embedded in wearable and mobile devices
                 allow for dynamic selection of sensor streams and
                 sampling rates, enabling several applications, such as
                 power management and data-sharing control. While deep
                 neural networks (DNNs) achieve \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "120",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Meegahapola:2021:ESC,
  author =       "Lakmal Meegahapola and Florian Labhart and Thanh-Trung
                 Phan and Daniel Gatica-Perez",
  title =        "Examining the Social Context of Alcohol Drinking in
                 Young Adults with Smartphone Sensing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "121:1--121:26",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478126",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478126",
  abstract =     "According to prior work, the type of relationship
                 between a person consuming alcohol and others in the
                 surrounding (friends, family, spouse, etc.), and the
                 number of those people (alone, with one person, with a
                 group) are related to many aspects of \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "121",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{MontoyaFreire:2021:IFI,
  author =       "Maria L. {Montoya Freire} and Antti Oulasvirta and
                 Mario {Di Francesco}",
  title =        "Inverse Foraging: Inferring Users' Interest in
                 Pervasive Displays",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "122:1--122:18",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478103",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478103",
  abstract =     "Users' engagement with pervasive displays has been
                 extensively studied, however, determining how their
                 content is interesting remains an open problem.
                 Tracking of body postures and gaze has been explored as
                 an indication of attention; still, existing \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "122",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Niijima:2021:RMA,
  author =       "Arinobu Niijima and Toki Takeda and Kentaro Tanaka and
                 Ryosuke Aoki and Yukio Koike",
  title =        "Reducing Muscle Activity when Playing Tremolo by Using
                 Electrical Muscle Stimulation to Learn Efficient Motor
                 Skills",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "123:1--123:17",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478110",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478110",
  abstract =     "When beginners play the piano, the activity of the
                 forearm muscles tends to be greater than that of
                 experts because beginners move their fingers with more
                 force than necessary. Reducing forearm muscle activity
                 is important for pianists to prevent \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "123",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Islam:2021:BDR,
  author =       "Bashima Islam and Md Mahbubur Rahman and Tousif Ahmed
                 and Mohsin Yusuf Ahmed and Md Mehedi Hasan and Viswam
                 Nathan and Korosh Vatanparvar and Ebrahim Nemati and
                 Jilong Kuang and Jun Alex Gao",
  title =        "{BreathTrack}: Detecting Regular Breathing Phases from
                 Unannotated Acoustic Data Captured by a Smartphone",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "124:1--124:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478123",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478123",
  abstract =     "Breathing biomarkers, such as breathing rate,
                 fractional inspiratory time, and inhalation-exhalation
                 ratio, are vital for monitoring the user's health and
                 well-being. Accurate estimation of such biomarkers
                 requires breathing phase detection, i.e., \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "124",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Regmi:2021:SAS,
  author =       "Hem Regmi and Moh Sabbir Saadat and Sanjib Sur and
                 Srihari Nelakuditi",
  title =        "{SquiggleMilli}: Approximating {SAR} Imaging on Mobile
                 Millimeter-Wave Devices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "125:1--125:26",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478113",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478113",
  abstract =     "This paper proposes SquiggleMilli, a system that
                 approximates traditional Synthetic Aperture Radar (SAR)
                 imaging on mobile millimeter-wave (mmWave) devices. The
                 system is capable of imaging through obstructions, such
                 as clothing, and under low \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "125",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Rinta-Homi:2021:HLC,
  author =       "Mikko Rinta-Homi and Naser Hossein Motlagh and Agustin
                 Zuniga and Huber Flores and Petteri Nurmi",
  title =        "How Low Can You Go?: Performance Trade-offs in
                 Low-Resolution Thermal Sensors for Occupancy Detection:
                 a Systematic Evaluation",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "126:1--126:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478104",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478104",
  abstract =     "We contribute by systematically analysing the
                 performance trade-offs, costs (privacy loss and
                 deployment cost) and limits of low-resolution thermal
                 array sensors for occupancy detection. First, to assess
                 performance limits, we manipulate the frame rate
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "126",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Seo:2021:OSI,
  author =       "Hyunggoog Seo and Jaedong Kim and Kwanggyoon Seo and
                 Bumki Kim and Junyong Noh",
  title =        "{Overthere}: a Simple and Intuitive Object
                 Registration Method for an Absolute Mid-air Pointing
                 Interface",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "127:1--127:24",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478128",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478128",
  abstract =     "An absolute mid-air pointing technique requires a
                 preprocess called registration that makes the system
                 remember the 3D positions and types of objects in
                 advance. Previous studies have simply assumed that the
                 information is already available because it \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "127",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Song:2021:HHM,
  author =       "Yiwei Song and Dongzhe Jiang and Yunhuai Liu and Zhou
                 Qin and Chang Tan and Desheng Zhang",
  title =        "{HERMAS}: a Human Mobility Embedding Framework with
                 Large-scale Cellular Signaling Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "128:1--128:21",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478108",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478108",
  abstract =     "Efficient representations for spatio-temporal cellular
                 Signaling Data (SD) are essential for many human
                 mobility applications. Traditional representation
                 methods are mainly designed for GPS data with high
                 spatio-temporal continuity, and thus will suffer
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "128",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Verma:2021:ESF,
  author =       "Dhruv Verma and Sejal Bhalla and Dhruv Sahnan and
                 Jainendra Shukla and Aman Parnami",
  title =        "{ExpressEar}: Sensing Fine-Grained Facial Expressions
                 with Earables",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "129:1--129:28",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478085",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478085",
  abstract =     "Continuous and unobtrusive monitoring of facial
                 expressions holds tremendous potential to enable
                 compelling applications in a multitude of domains
                 ranging from healthcare and education to interactive
                 systems. Traditional, vision-based facial expression
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "129",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2021:DVP,
  author =       "Dawei Wang and Kai Chen and Wei Wang",
  title =        "Demystifying the Vetting Process of Voice-controlled
                 Skills on Markets",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "130:1--130:28",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478101",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478101",
  abstract =     "Smart speakers, such as Google Home and Amazon Echo,
                 have become popular. They execute user voice commands
                 via their built-in functionalities together with
                 various third-party voice-controlled applications,
                 called skills. Malicious skills have brought \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "130",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2021:CAA,
  author =       "Hongli Wang and Bin Guo and Jiaqi Liu and Sicong Liu
                 and Yungang Wu and Zhiwen Yu",
  title =        "Context-aware Adaptive Surgery: a Fast and Effective
                 Framework for Adaptative Model Partition",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "131:1--131:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478073",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478073",
  abstract =     "Deep Neural Networks (DNNs) have made massive progress
                 in many fields and deploying DNNs on end devices has
                 become an emerging trend to make intelligence closer to
                 users. However, it is challenging to deploy large-scale
                 and computation-intensive DNNs on \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "131",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wang:2021:AKR,
  author =       "Tianshi Wang and Shuochao Yao and Shengzhong Liu and
                 Jinyang Li and Dongxin Liu and Huajie Shao and Ruijie
                 Wang and Tarek Abdelzaher",
  title =        "Audio Keyword Reconstruction from On-Device Motion
                 Sensor Signals via Neural Frequency Unfolding",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "132:1--132:29",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478102",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478102",
  abstract =     "In this paper, we present a novel deep neural network
                 architecture that reconstructs the high-frequency audio
                 of selected spoken human words from low-sampling-rate
                 signals of (ego-)motion sensors, such as accelerometer
                 and gyroscope data, recorded on \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "132",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Wu:2021:LWA,
  author =       "Tong Wu and Nikolas Martelaro and Simon Stent and
                 Jorge Ortiz and Wendy Ju",
  title =        "Learning When Agents Can Talk to Drivers Using the
                 {INAGT} Dataset and Multisensor Fusion",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "133:1--133:28",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478125",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478125",
  abstract =     "This paper examines sensor fusion techniques for
                 modeling opportunities for proactive speech-based
                 in-car interfaces. We leverage the Is Now a Good Time
                 (INAGT) dataset, which consists of automotive,
                 physiological, and visual data collected from drivers
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "133",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xie:2021:PLL,
  author =       "Binbin Xie and Yuqing Yin and Jie Xiong",
  title =        "Pushing the Limits of Long Range Wireless Sensing with
                 {LoRa}",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "134:1--134:21",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478080",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478080",
  abstract =     "Wireless sensing is an exciting new research area
                 which enables a large variety of applications ranging
                 from coarse-grained daily activity recognition to
                 fine-grained vital sign monitoring. While promising in
                 many aspects, one critical issue is the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "134",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Xu:2021:CMB,
  author =       "Chenhan Xu and Huining Li and Zhengxiong Li and Hanbin
                 Zhang and Aditya Singh Rathore and Xingyu Chen and Kun
                 Wang and Ming-chun Huang and Wenyao Xu",
  title =        "{CardiacWave}: a {mmWave-based} Scheme of Non-Contact
                 and High-Definition Heart Activity Computing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "135:1--135:26",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478127",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478127",
  abstract =     "Using wireless signals to monitor human vital signs,
                 especially heartbeat information, has been intensively
                 studied in the past decade. This non-contact sensing
                 modality can drive various applications from cardiac
                 health, sleep, and emotion management. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "135",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Yang:2021:MBH,
  author =       "Qiang Yang and Yuanqing Zheng",
  title =        "Model-based Head Orientation Estimation for Smart
                 Devices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "136:1--136:24",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478089",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478089",
  abstract =     "Voice interaction is friendly and convenient for
                 users. Smart devices such as Amazon Echo allow users to
                 interact with them by voice commands and become
                 increasingly popular in our daily life. In recent
                 years, research works focus on using the \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "136",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhang:2021:SHS,
  author =       "Qian Zhang and Dong Wang and Run Zhao and Yinggang Yu
                 and Junjie Shen",
  title =        "Sensing to Hear: Speech Enhancement for Mobile Devices
                 Using Acoustic Signals",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "137:1--137:30",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478093",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478093",
  abstract =     "Voice interactions and voice messages on mobile phones
                 are rapidly growing in popularity. However, the user
                 experience of these services is still worse than
                 desired in noisy environments, especially in
                 multi-talker scenarios, where the phone can only
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "137",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhang:2021:WAS,
  author =       "Qian Zhang and Dong Wang and Run Zhao and Yinggang Yu
                 and JiaZhen Jing",
  title =        "Write, Attend and Spell: Streaming End-to-end
                 Free-style Handwriting Recognition Using Smartwatches",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "138:1--138:25",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478100",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478100",
  abstract =     "Text entry on a smartwatch is challenging due to its
                 small form factor. Handwriting recognition using the
                 built-in sensors of the watch (motion sensors,
                 microphones, etc.) provides an efficient and natural
                 solution to deal with this issue. However, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "138",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhao:2021:ASV,
  author =       "Cui Zhao and Zhenjiang Li and Han Ding and Wei Xi and
                 Ge Wang and Jizhong Zhao",
  title =        "Anti-Spoofing Voice Commands: a Generic Wireless
                 Assisted Design",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "139:1--139:22",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478116",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478116",
  abstract =     "This paper presents an anti-spoofing design to verify
                 whether a voice command is spoken by one live legal
                 user, which supplements existing speech recognition
                 systems and could enable new application potentials
                 when many crucial voice commands need a \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "139",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhao:2021:ULP,
  author =       "Minghui Zhao and Tyler Chang and Aditya Arun and
                 Roshan Ayyalasomayajula and Chi Zhang and Dinesh
                 Bharadia",
  title =        "{ULoc}: Low-Power, Scalable and cm-Accurate {UWB-Tag}
                 Localization and Tracking for Indoor Applications",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "140:1--140:31",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478124",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478124",
  abstract =     "A myriad of IoT applications, ranging from tracking
                 assets in hospitals, logistics, and construction
                 industries to indoor tracking in large indoor spaces,
                 demand centimeter-accurate localization that is robust
                 to blockages from hands, furniture, or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "140",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhong:2021:MTP,
  author =       "Weida Zhong and Qiuling Suo and Abhishek Gupta and
                 Xiaowei Jia and Chunming Qiao and Lu Su",
  title =        "{MetaTP}: Traffic Prediction with Unevenly-Distributed
                 Road Sensing Data via Fast Adaptation",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "141:1--141:28",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478083",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478083",
  abstract =     "With the popularity of smartphones, large-scale road
                 sensing data is being collected to perform traffic
                 prediction, which is an important task in modern
                 society. Due to the nature of the roving sensors on
                 smartphones, the collected traffic data which is
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "141",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhou:2021:CWL,
  author =       "Tongqing Zhou and Zhiping Cai and Fang Liu",
  title =        "The Crowd Wisdom for Location Privacy of Crowdsensing
                 Photos: Spear or Shield?",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "142:1--142:23",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478106",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478106",
  abstract =     "The incorporation of the mobile crowd in visual
                 sensing provides a significant opportunity to explore
                 and understand uncharted physical places. We
                 investigate the gains and losses of the involvement of
                 the crowd wisdom on users' location privacy in
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "142",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Zhou:2021:SVB,
  author =       "Zhongyi Zhou and Anran Xu and Koji Yatani",
  title =        "{SyncUp}: Vision-based Practice Support for
                 Synchronized Dancing",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "3",
  pages =        "143:1--143:25",
  month =        sep,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3478120",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:25:50 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3478120",
  abstract =     "The beauty of synchronized dancing lies in the
                 synchronization of body movements among multiple
                 dancers. While dancers utilize camera recordings for
                 their practice, standard video interfaces do not
                 efficiently support their activities of identifying
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "143",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Banerjee:2021:RMM,
  author =       "Avishek Banerjee and Kannan Srinivasan",
  title =        "{RFTemp}: Monitoring Microwave Oven Leakage to
                 Estimate Food Temperature",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "144:1--144:25",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494967",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494967",
  abstract =     "Microwave ovens have been widely used in recent years
                 to heat food quickly and efficiently. Users estimate
                 the time to heat the food by prior knowledge or by
                 trial and error process. However, this often results in
                 the food being over-heated or under-. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "144",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bhalla:2021:IOC,
  author =       "Sejal Bhalla and Mayank Goel and Rushil Khurana",
  title =        "{IMU$2$Doppler}: Cross-Modal Domain Adaptation for
                 {Doppler}-based Activity Recognition Using {IMU} Data",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "145:1--145:20",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494994",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494994",
  abstract =     "The proliferation of sensors powered by
                 state-of-the-art machine learning techniques can now
                 infer context, recognize activities and enable
                 interactions. A key component required to build these
                 automated sensing systems is labeled training data.
                 However,. \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "145",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Bu:2021:HAR,
  author =       "Yanling Bu and Lei Xie and Yafeng Yin and Chuyu Wang
                 and Jingyi Ning and Jiannong Cao and Sanglu Lu",
  title =        "Handwriting-Assistant: Reconstructing Continuous
                 Strokes with Millimeter-level Accuracy via Attachable
                 Inertial Sensors",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "146:1--146:25",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494956",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494956",
  abstract =     "Pen-based handwriting has become one of the major
                 human-computer interaction methods. Traditional
                 approaches either require writing on the specific
                 supporting device like the touch screen, or limit the
                 way of using the pen to pure rotation or \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "146",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2021:CFP,
  author =       "Weiyan Chen and Fusang Zhang and Tao Gu and Kexing
                 Zhou and Zixuan Huo and Daqing Zhang",
  title =        "Constructing Floor Plan through Smoke Using Ultra
                 Wideband Radar",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "147:1--147:29",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494977",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494977",
  abstract =     "Floor plan construction has been one of the key
                 techniques in many important applications such as
                 indoor navigation, location-based services, and
                 emergency rescue. Existing floor plan construction
                 methods require expensive dedicated hardware (e.g.,
                 \ldots{})",
  acknowledgement = ack-nhfb,
  articleno =    "147",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Chen:2021:CFV,
  author =       "Yanjiao Chen and Meng Xue and Jian Zhang and Qianyun
                 Guan and Zhiyuan Wang and Qian Zhang and Wei Wang",
  title =        "{ChestLive}: Fortifying Voice-based Authentication
                 with Chest Motion Biometric on Smart Devices",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "148:1--148:25",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494962",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494962",
  abstract =     "Voice-based authentication is prevalent on smart
                 devices to verify the legitimacy of users, but is
                 vulnerable to replay attacks. In this paper, we propose
                 to leverage the distinctive chest motions during
                 speaking to establish a secure multi-factor \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "148",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Cloete:2021:AAM,
  author =       "Richard Cloete and Chris Norval and Jatinder Singh",
  title =        "Auditable Augmented\slash Mixed\slash Virtual Reality:
                 The Practicalities of Mobile System Transparency",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "149:1--149:24",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3495001",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3495001",
  abstract =     "Virtual, Augmented and Mixed Reality (XR) technologies
                 are becoming increasingly pervasive. However, the
                 contextual nature of XR, and its tight coupling of the
                 digital and physical environments, brings real
                 propensity for loss and harm. This means that
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "149",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Colley:2021:SCS,
  author =       "Mark Colley and Pascal Jansen and Enrico Rukzio and
                 Jan Gugenheimer",
  title =        "{SwiVR-Car-Seat}: Exploring Vehicle Motion Effects on
                 Interaction Quality in Virtual Reality Automated
                 Driving Using a Motorized Swivel Seat",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "150:1--150:26",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494968",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494968",
  abstract =     "Autonomous vehicles provide new input modalities to
                 improve interaction with in-vehicle information
                 systems. However, due to the road and driving
                 conditions, the user input can be perturbed, resulting
                 in reduced interaction quality. One challenge is
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "150",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Curtiss:2021:FSF,
  author =       "Alexander Curtiss and Blaine Rothrock and Abu Bakar
                 and Nivedita Arora and Jason Huang and Zachary
                 Englhardt and Aaron-Patrick Empedrado and Chixiang Wang
                 and Saad Ahmed and Yang Zhang and Nabil Alshurafa and
                 Josiah Hester",
  title =        "{FaceBit}: Smart Face Masks Platform",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "151:1--151:44",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494991",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494991",
  abstract =     "The COVID-19 pandemic has dramatically increased the
                 use of face masks across the world. Aside from physical
                 distancing, they are among the most effective
                 protection for healthcare workers and the general
                 population. Face masks are passive devices, \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "151",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ding:2021:LIB,
  author =       "Dian Ding and Lanqing Yang and Yi-Chao Chen and
                 Guangtao Xue",
  title =        "Leakage or Identification: Behavior-irrelevant User
                 Identification Leveraging Leakage Current on Laptops",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "152:1--152:23",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494984",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494984",
  abstract =     "The convenience of laptops brings with it the risk of
                 information leakage, and conventional security systems
                 based on the password or the explicit biometric do
                 little to alleviate this problem. Biometric
                 identification based on anatomical features \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "152",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Ding:2021:SIL,
  author =       "Yi Ding and Dongzhe Jiang and Yunhuai Liu and Desheng
                 Zhang and Tian He",
  title =        "{SmartLOC}: Indoor Localization with Smartphone
                 Anchors for On-Demand Delivery",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "153:1--153:24",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494972",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494972",
  abstract =     "On-demand delivery is a rapidly developing business
                 worldwide, where meals and groceries are delivered door
                 to door from merchants to customers by the couriers.
                 Couriers' real-time localization plays a key role in
                 on-demand delivery for all parties like \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "153",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Do:2021:SWC,
  author =       "Youngwook Do and Jung Wook Park and Yuxi Wu and
                 Avinandan Basu and Dingtian Zhang and Gregory D. Abowd
                 and Sauvik Das",
  title =        "Smart Webcam Cover: Exploring the Design of an
                 Intelligent Webcam Cover to Improve Usability and
                 Trust",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "154:1--154:21",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494983",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494983",
  abstract =     "Laptop webcams can be covertly activated by malware
                 and law enforcement agencies. Consequently, 59\%
                 percent of Americans manually cover their webcams to
                 avoid being surveilled. However, manual covers are
                 prone to human error---through a survey with 200
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "154",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gairola:2021:SSB,
  author =       "Siddhartha Gairola and Murtuza Bohra and Nadeem
                 Shaheer and Navya Jayaprakash and Pallavi Joshi and
                 Anand Balasubramaniam and Kaushik Murali and Nipun
                 Kwatra and Mohit Jain",
  title =        "{SmartKC}: Smartphone-based Corneal Topographer for
                 Keratoconus Detection",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "155:1--155:27",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494982",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494982",
  abstract =     "Keratoconus is a severe eye disease affecting the
                 cornea (the clear, dome-shaped outer surface of the
                 eye), causing it to become thin and develop a conical
                 bulge. The diagnosis of keratoconus requires
                 sophisticated ophthalmic devices which are non-.
                 \ldots{}",
  acknowledgement = ack-nhfb,
  articleno =    "155",
  fjournal =     "Proceedings of the ACM on Interactive, Mobile,
                 Wearable and Ubiquitous Technologies (IMWUT)",
  journal-URL =  "https://dl.acm.org/loi/imwut",
}

@Article{Gao:2021:STF,
  author =       "Yang Gao and Yincheng Jin and Seokmin Choi and Jiyang
                 Li and Junjie Pan and Lin Shu and Chi Zhou and Zhanpeng
                 Jin",
  title =        "{SonicFace}: Tracking Facial Expressions Using a
                 Commodity Microphone Array",
  journal =      j-IMWUT,
  volume =       "5",
  number =       "4",
  pages =        "156:1--156:33",
  month =        dec,
  year =         "2021",
  CODEN =        "????",
  DOI =          "https://doi.org/10.1145/3494988",
  ISSN =         "2474-9567 (electronic)",
  ISSN-L =       "2474-9567",
  bibdate =      "Wed May 25 15:22:25 MDT 2022",
  bibsource =    "https://www.math.utah.edu/pub/tex/bib/imwut.bib",
  URL =          "https://dl.acm.org/doi/10.1145/3494988",
  abstract =     "Accurate recognition of facial expressions and
                 emotional gestu