User Models in Dialog Systems
By: edited by Alfred Kobsa, Wolfgang Wahlster
Contributors: Wahlster, Wolfgang
Series: Symbolic Computation, Artificial Intelligence; Symbolic Computation, Artificial Intelligence
Publisher: Springer Berlin Heidelberg
Published: 1989
Place of publication: Berlin, Heidelberg
Language: eng
Format: [electronic resource] /
Number of pages: 471
ISBN-13: 9783642832321; 9783642832307
Subjects: Medical records; Data processing; Computer science; Artificial intelligence; Translators (Computer programs)
Description: User models have recently attracted much research interest in the field of artificial intelligence dialog systems. It has become evident that a flexible user-oriented dialog behavior of such systems can be realized only if the system disposes of a model of the user, containing assumptions about the user`s background knowledge as well as the user`s goals and plans in consulting the system. Research in the field of user models investigates how such assumptions can be automatically created, represented and exploited by the system in the course of an interaction with the user. This volume is the first survey pertaining to the field of user modeling. Most of the prominent international researchers in this area have contributed to this volume. Their papers are grouped into four sections: The introductory section contains a general view of the field as a whole, and a number of surveys of specific problems and techniques in user modeling. Sections two and three describe eight user modeling systems, with the focus lying on the automatic creation and exploitation of assumptions about the user respectively. The final section discusses several limits of current systems, and proposes solutions as to how some of the shortcomings might be overcome. In order to increase the quality and the coherency of the volume, each paper has been reviewed by all other contributors. Cross-references have been integrated wherever appropriate. All contributions are introduced in editorial prefaces pertaining to each section. A subject index and an extensive bibliography supplement the book.
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Table of contents: title: Contents: A Survey of User Modeling: User Models in Dialog Systems. Stereotypes and User Modeling. A Taxonomy of Beliefs and Goals for User Models in Dialog Systems; title: Building User Models: KNOME: Modeling What the User Knows in UC. Detecting and Responding to Plan-Oriented Misconceptions. Plan Recognition and Its Use in Understanding Dialog. Learning the User's Language: A Step Towards Automated Creation of User Models; title: Exploiting User Models: The Use of Explicit User Models in a Generation System for Tailoring Answers to the User's Level of Expertise. Highlighting a User Model to Respond to Misconceptions. But What Will the Listener Think? Belief Ascription and Image Maintenance in Dialog. Incorporating User Models into Expert Systems for Educational Diagnosis; title: Shortcomings of Current Models, Prospects for the Future: Realism About User Modeling. User Models and Conversational Settings: Modeling the User's Wants. Student Modeling in Intelligent Tutoring Systems - Implications for User Modeling. GUMS - A General User Modeling Shell; title: Appendices: Bibliography. List of Contributors. Subject Index.