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Computer Science > Human-Computer Interaction

arXiv:2206.06128 (cs)
[Submitted on 13 Jun 2022]

Title:Agents facilitate one category of human empathy through task difficulty

Authors:Takahiro Tsumura, Seiji Yamada
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Abstract:One way to improve the relationship between humans and anthropomorphic agents is to have humans empathize with the agents. In this study, we focused on a task between agents and humans. We experimentally investigated hypotheses stating that task difficulty and task content facilitate human empathy. The experiment was a two-way analysis of variance (ANOVA) with four conditions: task difficulty (high, low) and task content (competitive, cooperative). The results showed no main effect for the task content factor and a significant main effect for the task difficulty factor. In addition, pre-task empathy toward the agent decreased after the task. The ANOVA showed that one category of empathy toward the agent increased when the task difficulty was higher than when it was this http URL indicated that this category of empathy was more likely to be affected by the task. The task itself used can be an important factor when manipulating each category of empathy.
Comments: Accepted by RO-MAN2022, 7 pages, 5 figures, 3 tables
Subjects: Human-Computer Interaction (cs.HC)
Cite as: arXiv:2206.06128 [cs.HC]
  (or arXiv:2206.06128v1 [cs.HC] for this version)
  https://doi.org/10.48550/arXiv.2206.06128
Journal reference: 2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Napoli, Italy, 2022, pp. 22-28
Related DOI: https://doi.org/10.1109/RO-MAN53752.2022.9900686

Submission history

From: Takahiro Tsumura [view email]
[v1] Mon, 13 Jun 2022 13:09:31 UTC (474 KB)
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