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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Patel, R., Leuski, A., Traum, D. (2006). Dealing with Out of Domain Questions in Virtual Characters. In: Gratch, J., Young, M., Aylett, R., Ballin, D., Olivier, P. (eds) Intelligent Virtual Agents. IVA 2006. Lecture Notes in Computer Science(), vol 4133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11821830_10
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DOI: https://doi.org/10.1007/11821830_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37593-7
Online ISBN: 978-3-540-37594-4
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