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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationHAI 2021 - Proceedings of the 9th International User Modeling, Adaptation and Personalization Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages241-244
Number of pages4
ISBN (Electronic)9781450386203
DOIs
Publication statusPublished - 2021 Nov 9
Event9th International User Modeling, Adaptation and Personalization Human-Agent Interaction, HAI 2021 - Virtual, Online, Japan
Duration: 2021 Nov 92021 Nov 11

Publication series

NameHAI 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
Country/TerritoryJapan
CityVirtual, Online
Period21/11/921/11/11

Keywords

  • complexity
  • desire to continue dialogue
  • perceived empathy
  • repetitive utterance

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence
  • Human-Computer Interaction

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