tailieunhanh - Báo cáo khoa học: "Flexible Guidance Generation using User Model in Spoken Dialogue Systems"

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. | Flexible Guidance Generation using User Model in Spoken Dialogue Systems Kazunori Komatani ShinichiUeno Tatsuya Kawahara Hiroshi G. Okuno Graduate School of Informatics Kyoto University Yoshida-Hommachi Sakyo Kyoto 606-8501 Japan komatani ueno kawahara okuno @ 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. 1 Introduction A spoken dialogue system is one of the promising applications of the speech recognition and natural language understanding technologies. A typical task of spoken dialogue systems is database retrieval. Some IVR interactive voice response systems using the speech recognition technology are being put into practical use as its simplest form. According to the spread of cellular phones spoken dialogue systems via telephone enable us to obtain information from various places without any other special apparatuses. However the speech interface involves two inevitable problems one is speech recognition errors and the other is that much information cannot be conveyed at once in speech communications. Therefore the dialogue strategies which determine when to make guidance and

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