元人类特征对用户接受度的影响:从不可思议谷理论的角度来看

IF 2.9 4区 管理学 Q2 COMPUTER SCIENCE, CYBERNETICS Behaviour & Information Technology Pub Date : 2024-04-16 DOI:10.1080/0144929x.2024.2338408
Sujin Bae, Timothy Jung, Justin Cho, Ohbyung Kwon
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引用次数: 0

摘要

尽管元人类在虚拟空间中具有潜力,但有关消费者如何对元人类做出反应的研究却很少。本研究调查了元人类特征对用户接受度的影响。
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Effects of meta-human characteristics on user acceptance: from the perspective of uncanny valley theory
Despite the potential of meta-humans in the virtual space, research on how consumers react to meta-humans is scarce. This study investigates the effects of meta-human characteristics on user accept...
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来源期刊
Behaviour & Information Technology
Behaviour & Information Technology 工程技术-计算机:控制论
CiteScore
7.70
自引率
8.10%
发文量
159
审稿时长
5 months
期刊介绍: Behaviour & Information Technology (BIT) puts people before technology. As such it deviates from other related journals. It is the primary scientific venue for peer-reviewed publications on human-centred IT. BIT reports original research studies, practical case studies, and thoughtful articles on: • usability and user experience (UX) • human computer interaction (HCI) • human-centred and user-centred design • the social, business and human aspects of the digital world. The Journal attracts authors and readers from a variety of disciplines (e.g., usability, user experience, psychology, ergonomics, computer science, and sociology), originating from both academics and industry. All papers are subject to initial appraisal by the Editor, and, if found suitable for further consideration, will undertake rigorous double blind peer review by independent, anonymous expert referees.
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