Dialogue strategy optimization to assist user's decision for spoken consulting dialogue systems

Teruhisa Misu, Komei Sugiura, Kiyonori Ohtake, Chiori Hori, Hideki Kashioka, Hisashi Kawai, Satoshi Nakamura

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

This paper addresses a user model and dialogue state definition in spoken consulting dialogue systems that help users in making decision. When selecting from a set of alternatives, users have various decision criteria for making decision. Users often do not have a definite goal or criteria for selection, and thus they may find not only what kind of information the system can provide but their own preference or factors that they should emphasize. In this paper, we model such consulting dialogue as partially observable Markov decision process (POMDP). We then present an optimization of dialogue strategy to help users make better decisions.

本文言語English
ホスト出版物のタイトル2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings
ページ354-359
ページ数6
DOI
出版ステータスPublished - 2010 12 1
外部発表はい
イベント2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Berkeley, CA, United States
継続期間: 2010 12 122010 12 15

出版物シリーズ

名前2010 IEEE Workshop on Spoken Language Technology, SLT 2010 - Proceedings

Conference

Conference2010 IEEE Workshop on Spoken Language Technology, SLT 2010
CountryUnited States
CityBerkeley, CA
Period10/12/1210/12/15

ASJC Scopus subject areas

  • Language and Linguistics

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引用スタイル