An Adaptable Dialog Interface Agent Using Meta-Rules

Jung-Jin Lee, The Catholic University of Korea, Korea; Jaeho Lee, University of Seoul, Korea

We examine adaptable dialogue interface agents using meta-rules to engage in to converse with information seeking callers. For an adaptable dialogue interface agent to exhibit the intelligence required in a dialogue with a user it needs the ability to handle unanticipated user input gracefully in a proper context, that is, it can support ad hoc requests from a user, maintain the topic of discourse, and keep a user from digressing away from the subject. Toward this goal of participation, we propose a plan-based dialog model that aims at achieving a higher level of adaptability by utilizing a set of meta-rules. We use meta-rules as a strategy of controlling an irregular discourse; these can be applied to unexpected responses from a user to analyze whether the responses are incomplete, ambiguous, or inexact in relation to the expectation. The proposed model will allow us to build a dialog-capable interface agent that functions as a middleman between users and information source agents such as database management systems.

This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.