Investigating the interplay of bottom-up and top-down attention in hazard recognition: Insights from immersive virtual reality, eye-tracking and electroencephalography

IF 5.4 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Safety Science Pub Date : 2025-07-01 Epub Date: 2025-03-12 DOI:10.1016/j.ssci.2025.106841
Zhe Zhang , Brian H.W. Guo , Zhenan Feng , Yang Miang Goh
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Abstract

The construction industry’s high-risk environment demands effective hazard recognition strategies. Attention, a critical cognitive process, plays a crucial role in this task. Previous research focused on individual attention process, such as sustained attention, selective and divided attention. However, no research has been conducted to investigate the effects of the interplay between endogenous and exogenous factors on hazard recognition in construction settings. This paper aims to investigate the effects of the interplay between top-down (T-D) and bottom-up (B-U) attention networks on hazard recognition, using immersive virtual reality (IVR), eye tracking (ET), and electroencephalography (EEG). Two safety interventions—augmented stimuli and toolbox meetings—were tested in a dynamic IVR construction site. The results showed that both augmented stimuli and the safety toolbox meeting significantly affected B-U, T-D, and hazard recognition. This paper provided evidence that the interplay between B-U and T-D can significantly improve workers’ hazard recognition performance. The results improved our understanding of the mechanisms that control selective attention and the source of guidance over attention orientation. By demonstrating that T-D and B-U processes can work together rather than in isolation, this research contributes a key theoretical insight: attentional orientation in hazardous construction environments is neither fully determined by external stimuli nor entirely controlled by internal cognitive sets. In addition, this paper highlights and calls for an integrated approach to improving worker’s hazard recognition performance, by combining digital-technology-enabled stimuli with safety-goal-oriented training and managerial practices.
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调查自下而上和自上而下的注意力在危险识别中的相互作用:来自沉浸式虚拟现实、眼动追踪和脑电图的见解
建筑行业的高风险环境需要有效的风险识别策略。注意是一个重要的认知过程,在这一任务中起着至关重要的作用。以往的研究主要集中在个体注意过程,如持续注意、选择性注意和分离注意。然而,目前还没有研究调查内源性和外源性因素对建筑环境中危险识别的相互作用。本文旨在利用沉浸式虚拟现实(IVR)、眼动追踪(ET)和脑电图(EEG)研究自上而下(T-D)和自下而上(B-U)注意网络之间的相互作用对危险识别的影响。两种安全干预——增强刺激和工具箱会议——在一个动态的IVR建设现场进行了测试。结果表明,增强刺激和安全工具箱相遇对B-U、T-D和危险识别均有显著影响。研究表明,B-U和T-D之间的相互作用可以显著提高工人的危险识别绩效。这些结果提高了我们对控制选择性注意的机制和对注意定向的指导来源的理解。通过证明T-D和B-U过程可以共同而不是孤立地工作,本研究提供了一个关键的理论见解:危险建筑环境中的注意取向既不完全由外部刺激决定,也不完全由内部认知集控制。此外,本文强调并呼吁通过将数字技术刺激与安全目标导向的培训和管理实践相结合,采用综合方法来提高工人的危险识别能力。
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来源期刊
Safety Science
Safety Science 管理科学-工程:工业
CiteScore
13.00
自引率
9.80%
发文量
335
审稿时长
53 days
期刊介绍: Safety Science is multidisciplinary. Its contributors and its audience range from social scientists to engineers. The journal covers the physics and engineering of safety; its social, policy and organizational aspects; the assessment, management and communication of risks; the effectiveness of control and management techniques for safety; standardization, legislation, inspection, insurance, costing aspects, human behavior and safety and the like. Papers addressing the interfaces between technology, people and organizations are especially welcome.
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