User modeling in spoken dialogue systems to generate flexible guidance

Kazunori Komatani*, Shinichi Ueno, Tatsuya Kawahara, Hiroshi G. Okuno

*この研究の対応する著者

研究成果: Article査読

30 被引用数 (Scopus)

抄録

We address the issue of appropriate user modeling to generate cooperative responses to users in spoken dialogue systems. Unlike previous studies that have focused on a user's knowledge, we propose more generalized modeling. We specifically set up three dimensions for user models: the skill level in use of the system, the knowledge level about the target domain, and the degree of urgency. Moreover, the models are automatically derived by decision tree learning using actual dialogue data collected by the system. We obtained reasonable accuracy in classification for all dimensions. Dialogue strategies based on user modeling were implemented on the Kyoto City Bus Information System that was developed at our laboratory. Experimental evaluations revealed that the cooperative responses adapted to each subject type served as good guides for novices without increasing the duration dialogue lasted for skilled users.

本文言語English
ページ(範囲)169-183
ページ数15
ジャーナルUser Modelling and User-Adapted Interaction
15
1
DOI
出版ステータスPublished - 2005 3
外部発表はい

ASJC Scopus subject areas

  • 人間とコンピュータの相互作用

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