与自己一起设计:预测现场情绪的脑机接口设计工具,加强对设计师的元认知监控

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS International Journal of Human-Computer Studies Pub Date : 2024-01-26 DOI:10.1016/j.ijhcs.2024.103229
Qi Yang , Shuo Feng , Tianlin Zhao , Saleh Kalantari
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引用次数: 0

摘要

元认知监控被定义为认知过程的自我意识和管理,它影响着创意设计。然而,通过生物反馈增强元认知监测的工具却很少。为了填补这一空白,我们推出了 "Multi-Self"--一种用于增强建筑设计中元认知监控的生物识别-虚拟现实设计工具。Multi-Self "可评估设计师对其工作的情绪反应(情绪价值和唤醒),提供实时、可视的生物反馈。为了评估该工具的可行性和可用性,我们对 24 名参与者进行了概念验证试点研究。虽然对反馈准确性的反应不一,但大多数参与者都认为该工具很有用,认为它激发了元认知监控,鼓励了对设计空间的探索,并有助于调节主观不确定性。
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Design with myself: A brain–computer interface design tool that predicts live emotion to enhance metacognitive monitoring of designers

Metacognitive monitoring, defined as the self-awareness and management of cognitive processes, influences creative design. Yet, there are few tools to enhance metacognitive monitoring through biofeedback. To address the gap, we present “Multi-Self”, a BCI-VR design tool for enhancing metacognitive monitoring in architectural design. Multi-Self evaluates designers’ emotions responses (valence and arousal) to their work, providing real-time, visual biofeedback. A proof-of-concept pilot study with 24 participants was conducted to assess the tool’s feasibility and usability. While feedback accuracy responses were mixed, most participants found the tool useful, reporting that it sparked metacognitive monitoring, encouraged exploration of the design space, and helped to modulate subjective uncertainty.

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来源期刊
International Journal of Human-Computer Studies
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 ...
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