The Impact of Adaptive Emotional Alignment on Mental State Attribution and User Empathy in HRI
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866915477016543232 |
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| author | Buracchio, Giorgia Callegari, Ariele Donini, Massimo Gena, Cristina Lieto, Antonio Lillo, Alberto Mattutino, Claudio Mazzei, Alessandro Pigureddu, Linda Striani, Manuel Vernero, Fabiana |
| author_facet | Buracchio, Giorgia Callegari, Ariele Donini, Massimo Gena, Cristina Lieto, Antonio Lillo, Alberto Mattutino, Claudio Mazzei, Alessandro Pigureddu, Linda Striani, Manuel Vernero, Fabiana |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_02749 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | The Impact of Adaptive Emotional Alignment on Mental State Attribution and User Empathy in HRI Buracchio, Giorgia Callegari, Ariele Donini, Massimo Gena, Cristina Lieto, Antonio Lillo, Alberto Mattutino, Claudio Mazzei, Alessandro Pigureddu, Linda Striani, Manuel Vernero, Fabiana Robotics 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 |
| title | The Impact of Adaptive Emotional Alignment on Mental State Attribution and User Empathy in HRI |
| topic | Robotics |
| url | https://arxiv.org/abs/2509.02749 |