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Effective Engagement by Agents for Sense of Ownership and Self-Determination

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

Abstract

Persuasive communication that emphasizes a sense of ownership and self-determination is essential to achieve social good, such as the sustainable development goals. Although agent-based persuasion mainly targets attitude change, encouraging proactive participation in social issues also requires attention to the awareness of change, focusing on developing these internal motivations. This study aims to identify effective persuasion by agents regarding their sense of ownership and self-determination. To this end, we conducted an online survey with 400 participants, using a 2 × 2 design that manipulated the "target of persuasive act"(direct persuasion vs. indirect persuasion through agent-to-agent conversation [overheard communication (OHC)]) and the "target of persuasive content"(group- vs. individual-directed messages). The results revealed that individual-directed messages conveyed through the OHC were more effective.

Original languageEnglish
Title of host publicationHAI 2025 - Proceedings of the 13th International Conference on Human-Agent Interaction
EditorsHirotaka Osawa, Helena Lindgren, Aaron Steinfeld, Mary Ellen Foster, Shogo Okada, Haiyi Zhu
PublisherAssociation for Computing Machinery, Inc
Pages415-417
Number of pages3
ISBN (Electronic)9798400721786
DOIs
Publication statusPublished - 2026 Jan 2
Event13th International Conference on Human-Agent Interaction, HAI 2025 - Yokohama, Japan
Duration: 2025 Nov 102025 Nov 13

Publication series

NameHAI 2025 - Proceedings of the 13th International Conference on Human-Agent Interaction

Conference

Conference13th International Conference on Human-Agent Interaction, HAI 2025
Country/TerritoryJapan
CityYokohama
Period25/11/1025/11/13

Keywords

  • Overheard communication
  • Persuasion
  • Self-Determination
  • Sense of Ownership

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Software

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