Understanding how workers perceive risk is essential to construction safety management. Firstly, an event-related potential (ERP) experiment was conducted to investigate the relationship between risk, likelihood, and severity. Then, a linear model was developed to predict workers' risk perception based on ERP components and quantify the relative importance of severity to likelihood. Finally, an additive model was constructed to reflect the risk perception pattern. The results indicate: (1) Workers' emotional responses stem from the process of associating accident consequences in severity assessment, which is represented by the late positive potential (LPP) component. (2) Workers' risk perception relies more on severity compared with likelihood. (3) The additive model (risk = 0.203 * likelihood +0.758 * severity) better matches the risk perception patterns than the multiplicative model. The research results provide a new perspective for understanding workers' risk perception patterns and contributing to proactive safety management in the construction industry.

中文翻译：

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使用脑电图和机器学习调查建筑工人对风险、可能性和严重性的感知


了解工人如何感知风险对于施工安全管理至关重要。首先，进行了事件相关电位 （ERP） 实验，以探讨风险、可能性和严重性之间的关系。然后，开发了一个线性模型来预测工人基于 ERP 组件的风险感知，并量化严重性与可能性的相对重要性。最后，构建了一个加法模型来反映风险感知模式。结果表明：（1） 工人的情绪反应源于在严重程度评估中将事故后果相关联的过程，这以晚期正电位 （LPP） 成分为代表。（2） 与可能性相比，工人的风险感知更多地依赖于严重性。（3） 加法模型 （风险 = 0.203 * 似然 +0.758 * 严重性） 比乘法模型更符合风险感知模式。研究结果为理解工人的风险感知模式和促进建筑行业的主动安全管理提供了新的视角。