Development of human-agent attachment by form of address

Miho Kitamura, Koji Oya, Keiichi Kurata, Katsumi Watanabe

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

Abstract

Having an attachment is important to promote the utilization of electronic devices. To induce an emotional bond between people and voice interface, several companies have often named the voice interface. The present study examined whether a form of address (i.e., a way of calling a name of a voice agent or consumer) would modulate creating an attachment. Results showed that consumers reported a stronger attachment with voice agents that fit with the master-servant relationship based on the way of calling the name. Interestingly, this tendency was confirmed only for the behavioral index, but not for the subjective reports, suggesting that the form of address would implicitly affect the selection of behavior. Also, our findings indicate that increasing the emotional bond between consumers and voice agents could be modulated by the perception of the power balance during a human-agent interaction.

Original languageEnglish
Title of host publicationHAI 2018 - Proceedings of the 6th International Conference on Human-Agent Interaction
PublisherAssociation for Computing Machinery, Inc
Pages101-105
Number of pages5
ISBN (Electronic)9781450359535
DOIs
Publication statusPublished - 2018 Dec 4
Event6th International Conference on Human-Agent Interaction, HAI 2018 - Southampton, United Kingdom
Duration: 2018 Dec 152018 Dec 18

Other

Other6th International Conference on Human-Agent Interaction, HAI 2018
CountryUnited Kingdom
CitySouthampton
Period18/12/1518/12/18

Keywords

  • Address form
  • Attachment
  • Human egent interaction

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Artificial Intelligence
  • Software

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  • Cite this

    Kitamura, M., Oya, K., Kurata, K., & Watanabe, K. (2018). Development of human-agent attachment by form of address. In HAI 2018 - Proceedings of the 6th International Conference on Human-Agent Interaction (pp. 101-105). Association for Computing Machinery, Inc. https://doi.org/10.1145/3284432.3284446