Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making

Yoshimasa Ohmoto, Hikaru Nakaaki

2023

Abstract

A collaborative task execution by leveraging the respective strengths of human and artificial agents can solve problems more effectively than if both entities work separately. The important point is that humans have the mental attitude to transform their own opinions through active interaction with the agent. However, people do not often interact actively with agents because they often consider them to be mere information providers. In this study, our idea was to increase participant engagement by having participants experience interactions in which the agent is persuaded by the participant in a decision-making task. We performed an experiment to analyze whether the interaction with an agent that implements a persuasion interaction model could enhance the user’s sense of self-efficacy and engagement in the task. As a result, the participant’s behavior and the questionnaire’s findings revealed that persuading the interaction partner generally improves engagement in the interaction. On the other hand, it was suggested that the experience of persuading the interaction partner and the experience of the partner agreeing influenced the subsequent engagement and subjective evaluation of the interaction.

Paper Citation

in Harvard Style

Ohmoto Y. and Nakaaki H. (2023). Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 923-930. DOI: 10.5220/0011803600003393

in Bibtex Style

@conference{icaart23,
author={Yoshimasa Ohmoto and Hikaru Nakaaki},
title={Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={923-930},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011803600003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Improving the Engagement of Participants by Interacting with Agents who Are Persuaded During Decision-Making
SN - 978-989-758-623-1
AU - Ohmoto Y.
AU - Nakaaki H.
PY - 2023
SP - 923
EP - 930
DO - 10.5220/0011803600003393