Entry Prager:1990:RIU from ibmsysj.bib

Last update: Thu Nov 27 02:08:39 MST 2008                Valid HTML 3.2!

Index sections

Top | Symbols | Math | A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | X | Y | Z

BibTeX entry

@Article{Prager:1990:RIU,
  author =       "J. M. Prager and D. M. Lamberti and D. L. Gardner and
                 S. R. Balzac",
  title =        "{REASON}: An intelligent user assistant for
                 interactive environments",
  journal =      j-IBM-SYS-J,
  volume =       "29",
  number =       "1",
  pages =        "141--164",
  year =         "1990",
  CODEN =        "IBMSA7",
  ISSN =         "0018-8670",
  bibdate =      "Tue Mar 19 17:38:46 1996",
  abstract =     "The provision of intelligent user assistance has been
                 an ongoing problem in designing computer interfaces.
                 Interactive computing environments must support expert
                 as well as novice users when providing advice for error
                 correction and answers to questions directed to a
                 system. To address these issues, the authors have
                 investigated the application of fairly well-understood
                 artificial intelligence techniques in novel ways to
                 provide intelligent help. The paper describes the
                 design methodology used to build REASON, an intelligent
                 user-assistant prototype for a windowed, multitasking
                 environment. REASON's central component is an inference
                 engine that solves problems arising from a user's
                 activity. When the user makes one of several different
                 kinds of errors, the inference engine offers
                 dynamically generated suggestions about what the user
                 might have intended. The user can also query REASON
                 using natural language. In addition to providing
                 suggestions of corrected input or answers to questions,
                 REASON can provide two complementary types of
                 explanations of these responses, derived from the
                 inferences that led to them.",
  acknowledgement = ack-nhfb,
  affiliation =  "IBM Cambridge Sci. Center, MA, USA",
  classification = "C6180N (Natural language processing); C6170 (Expert
                 systems); C6150J (Operating systems)",
  keywords =     "Advice; Artificial intelligence; Computer interfaces;
                 Error correction; Inference engine; Intelligent help;
                 Intelligent user assistant; Interactive environments;
                 Natural language; REASON",
  language =     "English",
  pubcountry =   "USA",
  thesaurus =    "Expert systems; Inference mechanisms; Natural
                 languages; Operating systems [computers]; User
                 interfaces",
}

Related entries