Who will you imitate? Studying reciprocal influence in children-robot groups during an imitation game.

IF 2.9 Q2 ROBOTICS
Frontiers in Robotics and AI Pub Date : 2025-04-01 eCollection Date: 2025-01-01 DOI:10.3389/frobt.2025.1563923
Giulia Pusceddu, Francesca Cocchella, Michela Bogliolo, Giulia Belgiovine, Linda Lastrico, Francesco Rea, Maura Casadio, Alessandra Sciutti
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Abstract

This work aims to advance the understanding of group dynamics in robot-child interactions, focusing on whether, during a motor-imitation task led by a Nao robot, children might be influenced in their action executions by other group members - human or robotic. After testing eighteen groups of four children and teenagers, our findings indicate that participants tend to disregard the robot when it performs atypical gestures, preferring instead to imitate the actions of a human peer. Moreover, we found evidence that, in this scenario, assigning a leadership role to the robot does not, by itself, guarantee compliance from human group members; broader group dynamics must also be taken into account. Further results show that participants are significantly more likely to imitate the robot's action when the "proactive" group members (i.e., those who initiate actions first) conform to Nao, compared to when they do not. Previous studies suggest that the mutual influence of group members can facilitate interaction with a robotic agent; however, our findings show that the presence of proactive members could also undermine the group's conformity to the robot. Additionally, these findings highlight the importance of personalizing robots to better integrate into specific group dynamics, enhancing their ability to influence different groups effectively.

你会模仿谁?研究儿童-机器人群体在模仿游戏中的相互影响。
这项工作旨在促进对机器人与儿童互动中的群体动力学的理解,重点关注在由Nao机器人领导的运动模仿任务中,儿童的行动执行是否会受到其他群体成员(人类或机器人)的影响。在测试了18组由4名儿童和青少年组成的小组后,我们的研究结果表明,当机器人做出非典型手势时,参与者倾向于忽视机器人,而宁愿模仿人类同伴的动作。此外,我们发现有证据表明,在这种情况下,给机器人分配领导角色本身并不能保证人类小组成员的服从;更广泛的群体动态也必须考虑在内。进一步的结果表明,当“积极主动”的小组成员(即首先发起行动的人)符合Nao规则时,参与者明显更有可能模仿机器人的动作,而当他们不符合Nao规则时,参与者则更有可能模仿机器人的动作。先前的研究表明,群体成员的相互影响可以促进与机器人代理的互动;然而,我们的研究结果表明,积极主动的成员的存在也会破坏团队对机器人的一致性。此外,这些发现强调了个性化机器人的重要性,以更好地融入特定的群体动态,增强它们有效影响不同群体的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.50
自引率
5.90%
发文量
355
审稿时长
14 weeks
期刊介绍: Frontiers in Robotics and AI publishes rigorously peer-reviewed research covering all theory and applications of robotics, technology, and artificial intelligence, from biomedical to space robotics.
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