Analysis of efficient multimodal features for estimating user's willingness to talk: Comparison of human-machine and human-human dialog

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

A dialog system can select a more favorable action to a user by estimating the user's internal state. In this paper, we introduce the user's willingness to talk, whether the user wants to talk about a topic or to answer a question posed by the system. The dialog system is expected to increase user satisfaction by managing the dialog based on the user's willingness to talk. In the previous report, we investigated the effective multimodal features for estimating the willingness to talk through humanhuman dialogs but it was not clear whether these features were also useful for human-machine dialog. Thus, we collected the interview dialog data based on the Wizard of Oz (WOZ) basis and investigated the effect of the multimodal features by the discrimination experiments.

本文言語English
ホスト出版物のタイトルProceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ428-431
ページ数4
ISBN(電子版)9781538615423
DOI
出版ステータスPublished - 2018 2 5
イベント9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia
継続期間: 2017 12 122017 12 15

出版物シリーズ

名前Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
2018-February

Other

Other9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017
国/地域Malaysia
CityKuala Lumpur
Period17/12/1217/12/15

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 情報システム
  • 信号処理

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