Designing a Robot which Touches the User's Head with Intra-Hug Gestures

Yuya Onishi, H. Sumioka, M. Shiomi
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Abstract

There are a lot of positive benefits of hugging, and several studies have applied its application in human-robot interaction. However, due to the limitation of a robot performance, these robots only touched the human's back. In this study, we developed a hug robot, named "Moffuly-II." This robot can hug not only with intra-hug gestures, but also touch the user's back or head. This paper describes the robot system and the user's impression of hug with the robot.
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设计一个用拥抱手势触摸用户头部的机器人
拥抱有很多积极的好处,一些研究已经将其应用于人机交互。然而,由于机器人性能的限制,这些机器人只能触摸人类的背部。在这项研究中,我们开发了一个拥抱机器人,名为“moffuli - ii”。这个机器人不仅可以用拥抱的手势拥抱,还可以触摸用户的背部或头部。本文介绍了机器人系统和用户与机器人拥抱的印象。
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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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