An adaptive conversational interface for destination advice

Authors:
Pat Langley;Cynthia Thompson;Renée Elio;Afsaneh Haddadi
Affiliations:
DaimlerChrysler Research & Technology Center, Palo Alto, CA;Center for the Study of Language and Information, Stanford University, Stanford, CA;Department of Computing Science, Assiniboia Hall University of Alberta, Edmonton, Alberta;DaimlerChrysler Research and Technology, Berlin, Germany
Venue:
CIA'99 Proceedings of the 3rd international conference on Cooperative information agents III
Year:
1999

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Abstract

In this paper, we describe the Adaptive Place Advisor, a conversational interface designed to help users decide on a destination. We view the selection of destinations as an interactive process of constraint satisfaction, with the advisory system proposing attributes and the human responding. We further characterize this task in terms of heuristic search, which leads us to consider the system's representation of problem states, the operators it uses to generate those states, and the heuristics it invokes to select these operators. In addition, we report a graphical interface that supports this process for the specific task of recommending restaurants, as well as two methods for constructing user models from interaction traces. We contrast our approach to recommendation systems with the more common scheme of showing users a ranked list of items, but we also discuss related work on conversational systems. In closing, we present our plans to evaluate the Adaptive Place Advisor experimentally and to extend its functionality.