Towards Designing Companion Robots with the End in Mind

IF 4.2 Q2 ROBOTICS
Waki Kamino
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引用次数: 0

Abstract

This paper presents an early-stage idea of using 'robot death' as an integral component of human-robot interaction design for companion robots. Reviewing previous discussions around the deaths of companion robots in real-life and popular culture contexts, and analyzing the lifelike design of current companion robots in the market, the paper explores the potential advantages of designing companion robots and human-robot interaction with their 'death' in mind.
面向终端的同伴机器人设计
本文提出了将“机器人死亡”作为伴侣机器人人机交互设计的一个组成部分的早期想法。回顾之前在现实生活和流行文化背景下关于伴侣机器人死亡的讨论,并分析当前市场上伴侣机器人的逼真设计,本文探讨了在设计伴侣机器人和人机交互时考虑到它们的“死亡”的潜在优势。
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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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