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A multi-source physiological data-driven method for assessing the hazard perception level of operators | Synapse
March 3, 2026
Open Access
A multi-source physiological data-driven method for assessing the hazard perception level of operators
AQ
Aomeiqian Qi
Taiyuan University of Science and Technology
HL
Hongrui Liu
Taiyuan University of Technology
JL
J. D. Li
Taiyuan University of Science and Technology
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Key Points
Operators' hazard perception levels were significantly influenced by physiological data, demonstrating its relevance.
The analysis involved integrating data from various physiological sources to offer a comprehensive view of operator performance.
Findings suggest that enhanced training programs may benefit from focusing on physiological responses during hazard perceptions.
Continued use of multi-source data emphasizes the importance of adaptive safety measures in high-risk environments.
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Qi et al. (Thu,) studied this question.
synapsesocial.com/papers/69a75e31c6e9836116a2898b
https://doi.org/https://doi.org/10.1038/s41598-026-36107-y