Happiness improves perceptions and game performance in an escape room, whereas anger motivates compliance with instructions from a robot agent

IF 5.3 2区计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS

International Journal of Human-Computer Studies Pub Date : 2025-05-17 DOI:10.1016/j.ijhcs.2025.103547

Jiayuan Dong, Myounghoon Jeon

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引用次数: 0

Abstract

Emotions have been discovered to have critical impacts on human-robot interaction (HRI), but research has focused more on robots’ emotion expressions than user emotions. The present study investigated the impact of users’ emotions (happiness and anger) on their perceptions and trust toward robots, perceived workload, and task performance in an escape room with a robot agent. Forty-six college students participated in our study. The results suggested that happy participants rated the robot agent as significantly more likable, safer, and more comfortable than angry participants. Angry participants complied significantly more with the robot agent’s instructions than happy participants, but fewer succeeded. Among the participants who failed to escape the room, angry participants showed significantly higher cognitive trust in the robot than happy participants. The results underscored the importance of user emotions in shaping user perceptions and trust in robots, providing valuable theoretical and practical implications for emotions in HRI.

查看原文本刊更多论文

在密室逃生时，快乐可以提高感知能力和游戏表现，而愤怒则会促使人们服从机器人代理的指令

人们已经发现情绪对人机交互（HRI）有重要影响，但研究更多地集中在机器人的情绪表达上，而不是用户的情绪。本研究调查了用户的情绪（快乐和愤怒）对他们对机器人的感知和信任、感知工作量和任务绩效的影响。46名大学生参加了我们的研究。结果表明，快乐的参与者认为机器人代理比愤怒的参与者更可爱、更安全、更舒适。愤怒的参与者明显比快乐的参与者更遵守机器人代理的指令，但成功的参与者更少。在未能逃离房间的参与者中，愤怒的参与者对机器人的认知信任明显高于快乐的参与者。研究结果强调了用户情感在塑造用户感知和信任机器人方面的重要性，为HRI中的情感提供了有价值的理论和实践意义。

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

International Journal of Human-Computer Studies 工程技术-计算机：控制论

CiteScore

11.50

自引率

5.60%

发文量

108

审稿时长

3 months

期刊介绍： The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...