The effect of the repetitive utterances complexity on user’s perceived empathy and desire to continue dialogue by a chat-oriented dialogue system

Jie Yang, Hirofumi Kikuchi, Takatsugu Uegaki, Hideaki Kikuchi

研究成果: Conference contribution

抄録

In everyday conversation, it is common for participants to repeat all or part of the other's utterances, and such repetition is often accompanied by elements such as backchannels. If the repetitive utterances of a dialogue system are monotonous, the user may get bored quickly. In this study, we define complexity as the number of elements and patterns associated with repetitive utterances, and examine the effect of the complexity of repetitive utterances on the user's perceived empathy and desire to continue dialogue. A dialogue experiment was conducted with five university students using both automatic chat-oriented dialogue system and the Wizard of Oz method. The complexity of the repetitive utterances was divided into three conditions: low, moderate, and high, and templates of repetitive utterances were made according to each condition. The results suggest that moderate complexity may be the most effective in increasing the user's perceived empathy and desire to continue dialogue.

本文言語English
ホスト出版物のタイトルHAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction
出版社Association for Computing Machinery, Inc
ページ241-244
ページ数4
ISBN(電子版)9781450386203
DOI
出版ステータスPublished - 2021 11月 9
イベント9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021 - Virtual, Online, Japan
継続期間: 2021 11月 92021 11月 11

出版物シリーズ

名前HAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction

Conference

Conference9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021
国/地域Japan
CityVirtual, Online
Period21/11/921/11/11

ASJC Scopus subject areas

  • ソフトウェア
  • 人工知能
  • 人間とコンピュータの相互作用

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