Dealing with out of domain questions in virtual characters

Authors:
Ronakkumar Patel;Anton Leuski;David Traum
Affiliations:
Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA;Institute for Creative Technologies, University of Southern California, Marina del Rey, CA
Venue:
IVA'06 Proceedings of the 6th international conference on Intelligent Virtual Agents
Year:
2006

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Abstract

We consider the problem of designing virtual characters that support speech-based interactions in a limited domain. Previously we have shown that classification can be an effective and robust tool for selecting appropriate in-domain responses. In this paper, we consider the problem of dealing with out-of-domain user questions. We introduce a taxonomy of out-of-domain response types. We consider three classification architectures for selecting the most appropriate out-of-domain responses. We evaluate these architectures and show that they significantly improve the quality of the response selection making the user’s interaction with the virtual character more natural and engaging.