From Emotion to Error: How Physiological Arousal Drives Emergency Decision Failure in Virtual Mining

Description

This dataset supports the study entitled “From Emotion to Error: How Physiological Arousal Drives Emergency Decision Failure in Virtual Mining – A Study Based on a Multi-Level Moderating Mediation Model.” The data were collected through an immersive virtual reality mine-fire emergency experiment involving 1,000 valid participants nested within 50 work teams . The dataset contains anonymized physiological, behavioral, psychological, and group-level variables, including heart rate, skin conductance, systolic and diastolic blood pressure, reaction time, error rate, negative emotion, task disengagement, decision impulsivity, group safety management climate, group emotion regulation climate, and graded emergency response competence. These data were used for multilevel modeling, mediation and moderation analyses, and interpretable machine-learning analyses. All personally identifiable information has been removed to protect participant confidentiality.

Institutions

• Xi'an University of Science and Technology

  Shaanxi, Xi'an

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