The Power of Robot-mediated Play: Forming Friendships and Expressing Identity.

IF 4.2 Q2 ROBOTICS
ACM Transactions on Human-Robot Interaction Pub Date : 2023-12-01 Epub Date: 2023-09-28 DOI:10.1145/3611656
Verónica Ahumada-Newhart, Margaret Schneider, Laurel D Riek
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引用次数: 0

Abstract

Tele-operated collaborative robots are used by many children for academic learning. However, as child-directed play is important for social-emotional learning, it is also important to understand how robots can facilitate play. In this article, we present findings from an analysis of a national, multi-year case study, where we explore how 53 children in grades K-12 (n = 53) used robots for self-directed play activities. The contributions of this article are as follows. First, we present empirical data on novel play scenarios that remote children created using their tele-operated robots. These play scenarios emerged in five categories of play: physical, verbal, visual, extracurricular, and wished-for play. Second, we identify two unique themes that emerged from the data-robot-mediated play as a foundational support of general friendships and as a foundational support of self-expression and identity. Third, our work found that robot-mediated play provided benefits similar to in-person play. Findings from our work will inform novel robot and HRI design for tele-operated and social robots that facilitate self-directed play. Findings will also inform future interdisciplinary studies on robot-mediated play.

机器人媒介游戏的力量:建立友谊和表达身份。
远程操作的协作机器人被许多儿童用于学术学习。然而,由于儿童主导的游戏对社会情感学习很重要,了解机器人如何促进游戏也很重要。在这篇文章中,我们介绍了一项全国性的多年案例研究的分析结果,在该研究中,我们探讨了53名K-12年级的儿童(n=53)如何使用机器人进行自主游戏活动。本文的贡献如下。首先,我们提供了远程儿童使用遥控机器人创造的新颖游戏场景的经验数据。这些游戏场景分为五类:身体游戏、言语游戏、视觉游戏、课外游戏和希望游戏。其次,我们确定了数据机器人中介游戏中出现的两个独特主题,这两个主题是对一般友谊的基本支持,也是对自我表达和身份的基本支持。第三,我们的工作发现,机器人调解的游戏提供了类似于面对面游戏的好处。我们的研究结果将为远程操作和社交机器人的新型机器人和HRI设计提供信息,以促进自主游戏。研究结果还将为未来关于机器人中介游戏的跨学科研究提供信息。
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
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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