User Models in Dialog Systems /
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...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg :
Springer Berlin Heidelberg,
1989.
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| Series: | Symbolic computation. Artificial intelligence.
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| Online Access: | Connect to the full text of this electronic book |
Table of 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
- 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
- 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
- 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
- Appendices: Bibliography. List of Contributors. Subject Index.