Flexible guidance generation using user model in spoken dialogue systems

Authors:
Kazunori Komatani;Shinichi Ueno;Tatsuya Kawahara;Hiroshi G. Okuno
Affiliations:
Kyoto University, Yoshida-Hommachi, Sakyo, Kyoto, Japan;Kyoto University, Yoshida-Hommachi, Sakyo, Kyoto, Japan;Kyoto University, Yoshida-Hommachi, Sakyo, Kyoto, Japan;Kyoto University, Yoshida-Hommachi, Sakyo, Kyoto, Japan
Venue:
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Year:
2003

Citing 8
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Abstract

We address appropriate user modeling in order to generate cooperative responses to each user in spoken dialogue systems. Unlike previous studies that focus on user's knowledge or typical kinds of users, the user model we propose is more comprehensive. Specifically, we set up three dimensions of user models: skill level to the system, knowledge level on the target domain and the degree of hastiness. Moreover, the models are automatically derived by decision tree learning using real dialogue data collected by the system. We obtained reasonable classification accuracy for all dimensions. Dialogue strategies based on the user modeling are implemented in Kyoto city bus information system that has been developed at our laboratory. Experimental evaluation shows that the cooperative responses adaptive to individual users serve as good guidance for novice users without increasing the dialogue duration for skilled users.