User Models in Dialog Systems

N/ACitations
Citations of this article
41Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This chapter surveys the field of user modeling in artificial intelligence dialog systems. First, reasons why user modeling has become so important in the last few years are pointed out, and definitions are proposed for the terms 'user model' and 'user modeling component'. Research within and outside of artificial intelligence which is related to user modeling in dialog systems is discussed. In Section 2, techniques for constructing user models in the course of a dialog are presented and, in Section 3, recent proposals for representing a wide range of assumptions about a user's beliefs and goals in a system's knowledge base are surveyed. Examples for the application of user models in systems developed to date are then given, and some social implications discussed. Finally, unsolved problems like coping with collective beliefs or resource-limited processes are investigated, and prospects for application- oriented research are outlined. Although the survey is restricted to user models in natural- language dialog systems, most of the concepts and methods discussed can be extended to AI dialog systems in general.

Cite

CITATION STYLE

APA

User Models in Dialog Systems. (1989). User Models in Dialog Systems. Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-83230-7

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free