Influence of agent's self-disclosure on human empathy
Takahiro Tsumura, Seiji Yamada

TL;DR
This study investigates how agent self-disclosure influences human empathy, finding that relevant self-disclosure increases empathy while no disclosure suppresses it, regardless of agent appearance.
Contribution
It demonstrates that self-disclosure, especially when relevant, enhances human empathy toward anthropomorphic agents, a novel insight for human-agent interaction design.
Findings
Relevant self-disclosure increases empathy significantly.
No self-disclosure reduces human empathy.
Agent appearance has no main effect on empathy.
Abstract
As AI technologies progress, social acceptance of AI agents, including intelligent virtual agents and robots, is becoming even more important for more applications of AI in human society. One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. By empathizing, humans act positively and kindly toward agents, which makes it easier for them to accept the agents. In this study, we focus on self-disclosure from agents to humans in order to increase empathy felt by humans toward anthropomorphic agents. We experimentally investigate the possibility that self-disclosure from an agent facilitates human empathy. We formulate hypotheses and experimentally analyze and discuss the conditions in which humans have more empathy toward agents. Experiments were conducted with a three-way mixed plan, and the factors were the agents'…
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Taxonomy
TopicsSocial Robot Interaction and HRI · Psychology of Moral and Emotional Judgment
