Children's Acceptance of a Domestic Social Robot: How It Evolves over Time

IF 4.2 Q2 ROBOTICS

ACM Transactions on Human-Robot Interaction Pub Date : 2024-02-16 DOI:10.1145/3638066

Chiara de Jong, J. Peter, R. Kühne, Àlex Barco

引用次数: 0

Abstract

Little is known about children's long-term acceptance of social robots; whether different types of users exist; and what reasons children have not to use a robot. Moreover, the literature is inconclusive about how the measurement of children's robot acceptance (i.e., self-report or observational) affects the findings. We relied on both self-report and observational data from a six-wave panel study among 321 children aged eight to nine, who were given a Cozmo robot to play with at home over the course of eight weeks. Children's robot acceptance decreased over time, with the strongest drop after two to four weeks. Children rarely rejected the robot (i.e., they did not stop using it already prior to actual adoption). They rather discontinued its use after initial adoption or alternated between using and not using the robot. The competition of other toys and lacking motivation to play with Cozmo emerged as strongest reasons for not using the robot. Self-report measures captured patterns of robot acceptance well but seemed suboptimal for precise assessments of robot use.

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儿童对家用社交机器人的接受程度：如何随时间演变

关于儿童对社交机器人的长期接受程度、是否存在不同类型的用户以及儿童不使用机器人的原因，目前所知甚少。此外，关于儿童对机器人接受程度的测量方法（即自我报告还是观察）对研究结果的影响，文献中也没有定论。我们利用一项六波小组研究中的自我报告和观察数据，对 321 名 8 到 9 岁的儿童进行了研究，这些儿童在八周的时间里在家里玩了一个 Cozmo 机器人。随着时间的推移，儿童对机器人的接受度逐渐下降，其中两到四周后下降幅度最大。孩子们很少拒绝机器人（也就是说，他们并没有在实际采用之前就停止使用机器人）。相反，他们在初次采用后就停止使用，或者交替使用和不使用机器人。其他玩具的竞争和缺乏与 Cozmo 玩耍的动力是不使用机器人的最主要原因。自我报告测量方法很好地捕捉到了机器人的接受模式，但对于精确评估机器人的使用情况似乎还不够理想。

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.