Interaction-Shaping Robotics: Robots that Influence Interactions between Other Agents

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2024-02-02 DOI:10.1145/3643803

Sarah Gillet, Marynel Vázquez, Sean Andrist, Iolanda Leite, Sarah Sebo

引用次数: 0

Abstract

Work in Human-Robot Interaction (HRI) has investigated interactions between one human and one robot as well as human-robot group interactions. Yet, the field lacks a clear definition and understanding of the influence a robot can exert on interactions between other group members (e.g., human-to-human). In this paper, we define Interaction-Shaping Robotics (ISR), a subfield of HRI that investigates robots that influence the behaviors and attitudes exchanged between two (or more) other agents. We highlight key factors of Interaction-Shaping Robots that include the role of the robot, the robot-shaping outcome, the form of robot influence, the type of robot communication, and the timeline of the robot’s influence. We also describe three distinct structures of human-robot groups to highlight the potential of ISR in different group compositions and discuss targets for a robot’s interaction-shaping behavior. Finally, we propose areas of opportunity and challenges for future research in ISR.

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交互塑造机器人：影响其他代理之间互动的机器人

人机交互（HRI）领域的工作研究了人与机器人之间的互动，以及人与机器人的群体互动。然而，该领域对机器人对其他群体成员（如人与人）之间互动的影响缺乏明确的定义和理解。在本文中，我们定义了交互塑造机器人技术（ISR），它是人力资源创新的一个子领域，研究机器人对两个（或多个）其他代理之间的行为和态度产生的影响。我们强调了交互塑造机器人的关键因素，包括机器人的角色、机器人塑造的结果、机器人影响的形式、机器人交流的类型以及机器人影响的时间轴。我们还描述了人类与机器人群体的三种不同结构，以强调 ISR 在不同群体组成中的潜力，并讨论了机器人交互塑造行为的目标。最后，我们提出了 ISR 未来研究的机遇和挑战领域。

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

ACM Transactions on Human-Robot Interaction Computer Science-Artificial Intelligence

CiteScore

7.70

自引率

5.90%

发文量

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.