A model of temporally changing user behaviors in a deployed spoken dialogue system

Kazunori Komatani*, Tatsuya Kawahara, Hiroshi G. Okuno

*この研究の対応する著者

研究成果: Conference contribution

抄録

User behaviors on a system vary not only among individuals but also within the same user when he/she gains experience on the system. We empirically investigated how individual users changed their behaviors on the basis of long-term data, which were collected by our telephone-based spoken dialogue system deployed for the open public over 34 months. The system was repeatedly used by citizens, who were each identified by their phone numbers. We conducted an experiment by using these data and showed that prediction accuracy of utterance-understanding errors improved when the temporal change was taken into consideration. This result showed that modeling temporally changing user behaviors was helpful in improving the performance of spoken dialogue systems.

本文言語English
ホスト出版物のタイトルLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ページ409-414
ページ数6
5535 LNCS
DOI
出版ステータスPublished - 2009
外部発表はい
イベント17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009 - Trento
継続期間: 2009 6 222009 6 26

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5535 LNCS
ISSN(印刷版)03029743
ISSN(電子版)16113349

Other

Other17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009
CityTrento
Period09/6/2209/6/26

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 理論的コンピュータサイエンス

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