IF 2.7 3区 医学 Q3 NEUROSCIENCES
Dan Chong, Siyu Liao, Mingjie Xu, Yuting Chen, Anni Yu
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引用次数: 0

摘要

背景:建筑行业面临着严重的安全隐患、频繁的事故和不完善的管理。研究发现,工人的不安全行为是导致建筑事故的主要原因。然而,大多数研究都忽略了建筑工人的心理状态,尤其是情绪。研究方法本研究设计了一个结合社会认知神经科学的行为实验,收集实时脑电图数据,对恐惧、愤怒和中性情绪进行分类和识别。方差分析探讨了这些情绪状态下安全隐患识别和风险评估的差异。共有 22 名男性参与者参与,数据收集工作持续了三天。此外,还研究了心理资本在情绪对不安全行为的影响中的中介作用。研究结果通过结合频域和非线性特征提取,使用脑电信号进行情绪分类的准确率达到了 79%。与中性情绪和愤怒情绪相比,恐惧情绪明显提高了安全隐患识别的准确率(F = 0.027,p = 0.03)。恐惧和愤怒情绪下的风险评估值高于中性情绪下的风险评估值(F = 0.121,p = 0.023)。心理资本与情绪在危险识别准确性(F = 0.68,p = 0.034)、反应时间(F = 2.562,p = 0.003)和风险评估反应时间(F = 1.415,p = 0.026)方面有明显的交互作用。安全隐患识别与安全培训次数(p = 0.002)和参加的安全知识讲座(p = 0.025)相关。风险评估与吸烟(p = 0.023)、饮酒(p = 0.004)、睡眠时间(p = 0.017)和安全培训(p = 0.024)明显相关。结论研究结果提供了关于情绪如何影响安全隐患识别和风险评估的见解,为改善情绪调节、减少事故和加强建筑施工安全管理奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding How Negative Emotions Affect Hazard Assessment Abilities in Construction: Insights from Wearable EEG and the Moderating Role of Psychological Capital.

Background: The construction industry faces significant safety hazards, frequent accidents, and inadequate management. Studies identify unsafe worker behaviors as the primary cause of construction accidents. However, most research overlooks the psychological state, particularly emotions, of construction workers. Methods: This study designed a behavioral experiment integrating social cognitive neuroscience, collecting real-time EEG data to classify and recognize fear, anger, and neutral emotions. Variance analysis explored differences in safety hazard identification and risk assessment under these emotional states. A total of 22 male participants were involved, with data collection lasting three days. The role of psychological capital in mediating the effects of emotions on unsafe behaviors was also examined. Results: Emotional classification using EEG signals achieved 79% accuracy by combining frequency domain and nonlinear feature extraction. Fear significantly enhanced safety hazard identification accuracy compared to neutral and anger emotions (F = 0.027, p = 0.03). Risk assessment values under fear and anger were higher than under neutral emotion (F = 0.121, p = 0.023). Psychological capital interacted significantly with emotions in hazard identification accuracy (F = 0.68, p = 0.034), response time (F = 2.562, p = 0.003), and risk assessment response time (F = 1.415, p = 0.026). Safety hazard identification correlated with the number of safety trainings (p = 0.002) and safety knowledge lectures attended (p = 0.025). Risk assessment was significantly associated with smoking (p = 0.023), alcohol consumption (p = 0.004), sleep duration (p = 0.017), and safety training (p = 0.024). Conclusions: The findings provide insights into how emotions affect safety hazard identification and risk assessment, offering a foundation for improving emotional regulation, reducing accidents, and enhancing safety management in construction.

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来源期刊
Brain Sciences
Brain Sciences Neuroscience-General Neuroscience
CiteScore
4.80
自引率
9.10%
发文量
1472
审稿时长
18.71 days
期刊介绍: Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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