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How Self-Involvement affects miners' safety risk Decision-Making: an ERP study
Shuicheng Tian1,2, Zixin Su3,4, Guangtong Shao5,6
1College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an, 710054, China. tiansc@xust.edu.cn.
Miners make riskier decisions when others are affected, not just themselves. This study uses brain activity to understand how self-involvement impacts mining safety choices.
Area of Science:
- Occupational safety and health
- Cognitive neuroscience
- Mining engineering
Background:
- Unsafe decisions in coal mining pose significant risks to individuals and the entire operation.
- Previous research primarily focused on self-risk scenarios, neglecting the impact of risks affecting others.
Purpose of the Study:
- To investigate how miners' decision-making in self-involved versus non-self-involved safety risk scenarios is influenced by their level of unsafe psychology.
- To explore the neurophysiological underpinnings of these decisions using event-related potentials (ERPs).
Main Methods:
- Combined questionnaire surveys to assess unsafe psychology with an event-related potential (ERP) experiment.
- Miners evaluated safety risks in both self-involved and non-self-involved scenarios.
Main Results:
- Behaviorally, both low and high unsafe psychology groups made more unsafe decisions in non-self-involved scenarios.
- ERP analysis showed significant P300 and Late Positive Component (LPC) amplitudes, higher in self-involved scenarios, indicating increased attention.
- Miners with low unsafe psychology exhibited distinct P300 characteristics in self-involved scenarios, suggesting deeper cognitive processing.
Conclusions:
- Self-involvement plays a critical role in safety risk decision-making within the mining context.
- Neurophysiological data (P300, LPC) provide novel insights into the cognitive and emotional factors affecting mining safety behavior.
- Understanding these factors is crucial for developing targeted safety interventions.
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