Can a Robot's Hand Bias Human Attention?

IF 4.2 Q2 ROBOTICS
Giulia Scorza Azzarà, Joshua Zonca, F. Rea, Joo-Hyun Song, A. Sciutti
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Abstract

Previous studies have revealed that humans prioritize attention to the space near their hands (the so-called near-hand effect). This effect may also occur towards a human partner's hand, but only after sharing a physical joint action. Hence, in human dyads, interaction leads to a shared body representation that may influence basic attentional mechanisms. Our project investigates whether a collaborative interaction with a robot might similarly influence attention. To this aim, we designed an experiment to assess whether the mere presence of a robot with an anthropomorphic hand could bias the human partner's attention. We replicated a classical psychological paradigm to measure this attentional bias (i.e., the near-hand effect) by adding a robotic condition. Preliminary results found the near-hand effect when performing the task with the self-hand near the screen, leading to shorter reaction times on the same side of the hand. On the contrary, we found no effect on the robot's hand in the absence of previous collaborative interaction with the robot, in line with studies involving human partners.
机器人的手会影响人类的注意力吗?
之前的研究表明,人类会优先关注手附近的空间(所谓的近手效应)。这种效应也可能发生在人类伴侣的手上,但只有在共同进行身体联合动作之后。因此,在人类二联体中,相互作用导致了共同的身体表征,这可能会影响基本的注意机制。我们的项目调查了与机器人的协作互动是否会同样影响注意力。为此,我们设计了一个实验来评估是否仅仅是一个拟人化的手机器人的存在就会使人类伴侣的注意力产生偏差。我们复制了一个经典的心理学范式,通过添加一个机器人条件来测量这种注意偏差(即近手效应)。初步结果发现,当自我手靠近屏幕执行任务时,近手效应会导致手同一侧的反应时间更短。相反,我们发现在之前没有与机器人进行协作互动的情况下,对机器人的手没有影响,这与涉及人类伴侣的研究一致。
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来源期刊
ACM Transactions on Human-Robot Interaction
ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence
CiteScore
7.70
自引率
5.90%
发文量
65
期刊介绍: ACM Transactions on Human-Robot Interaction (THRI) is a prestigious Gold Open Access journal that aspires to lead the field of human-robot interaction as a top-tier, peer-reviewed, interdisciplinary publication. The journal prioritizes articles that significantly contribute to the current state of the art, enhance overall knowledge, have a broad appeal, and are accessible to a diverse audience. Submissions are expected to meet a high scholarly standard, and authors are encouraged to ensure their research is well-presented, advancing the understanding of human-robot interaction, adding cutting-edge or general insights to the field, or challenging current perspectives in this research domain. THRI warmly invites well-crafted paper submissions from a variety of disciplines, encompassing robotics, computer science, engineering, design, and the behavioral and social sciences. The scholarly articles published in THRI may cover a range of topics such as the nature of human interactions with robots and robotic technologies, methods to enhance or enable novel forms of interaction, and the societal or organizational impacts of these interactions. The editorial team is also keen on receiving proposals for special issues that focus on specific technical challenges or that apply human-robot interaction research to further areas like social computing, consumer behavior, health, and education.
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