Understanding How Negative Emotions Affect Hazard Assessment Abilities in Construction: Insights from Wearable EEG and the Moderating Role of Psychological Capital

<b>Background</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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, <i>p</i> = 0.03). Risk assessment values under fear and anger were higher than under neutral emotion (F = 0.121, <i>p</i> = 0.023). Psychological capital interacted significantly with emotions in hazard identification accuracy (F = 0.68, <i>p</i> = 0.034), response time (F = 2.562, <i>p</i> = 0.003), and risk assessment response time (F = 1.415, <i>p</i> = 0.026). Safety hazard identification correlated with the number of safety trainings (<i>p</i> = 0.002) and safety knowledge lectures attended (<i>p</i> = 0.025). Risk assessment was significantly associated with smoking (<i>p</i> = 0.023), alcohol consumption (<i>p</i> = 0.004), sleep duration (<i>p</i> = 0.017), and safety training (<i>p</i> = 0.024). <b>Conclusions</b>: 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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Publication Details

Journal
Brain Sciences
Published
2025-02-13
DOI
https://doi.org/10.3390/brainsci15020190
Citations
4
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
6.16

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article

Understanding How Negative Emotions Affect Hazard Assessment Abilities in Construction: Insights from Wearable EEG and the Moderating Role of Psychological Capital

Anni Yu, Dan Chong, Mingjie Xu, Steve M. Liao et al.
4 citations
Brain Sciences
Occupational Health and Safety Research
6.16
article

Understanding How Negative Emotions Affect Hazard Assessment Abilities in Construction: Insights from Wearable EEG and the Moderating Role of Psychological Capital

Anni Yu, Dan Chong, Mingjie Xu, Steve M. Liao, Yuting Chen
article en
4 citations

Abstract

<b>Background</b>: 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. <b>Methods</b>: 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. <b>Results</b>: 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, <i>p</i> = 0.03). Risk assessment values under fear and anger were higher than under neutral emotion (F = 0.121, <i>p</i> = 0.023). Psychological capital interacted significantly with emotions in hazard identification accuracy (F = 0.68, <i>p</i> = 0.034), response time (F = 2.562, <i>p</i> = 0.003), and risk assessment response time (F = 1.415, <i>p</i> = 0.026). Safety hazard identification correlated with the number of safety trainings (<i>p</i> = 0.002) and safety knowledge lectures attended (<i>p</i> = 0.025). Risk assessment was significantly associated with smoking (<i>p</i> = 0.023), alcohol consumption (<i>p</i> = 0.004), sleep duration (<i>p</i> = 0.017), and safety training (<i>p</i> = 0.024). <b>Conclusions</b>: 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.

Brain SciencesVol. 15(2)
University of North Carolina at Charlotte (US), Shanghai University (CN)
Science and Technology Commission of Shanghai Municipality
Good health and well-being
Openalex Percentile: Top 5%
Occupational Health and Safety Research
6.16
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