The Impact of Adaptive Emotional Alignment on Mental State Attribution and User Empathy in HRI
Giorgia Buracchio, Ariele Callegari, Massimo Donini, Cristina Gena, Antonio Lieto, Alberto Lillo, Claudio Mattutino, Alessandro Mazzei, Linda Pigureddu, Manuel Striani, Fabiana Vernero
- 发表年份
- 2025
- 访问权限
- 开放获取
摘要
The paper presents an experiment on the effects of adaptive emotional alignment between agents, considered a prerequisite for empathic communication, in Human-Robot Interaction (HRI). Using the NAO robot, we investigate the impact of an emotionally aligned, empathic, dialogue on these aspects: (i) the robot's persuasive effectiveness, (ii) the user's communication style, and (iii) the attribution of mental states and empathy to the robot. In an experiment with 42 participants, two conditions were compared: one with neutral communication and another where the robot provided responses adapted to the emotions expressed by the users. The results show that emotional alignment does not influence users' communication styles or have a persuasive effect. However, it significantly influences attribution of mental states to the robot and its perceived empathy
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