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Unmanaged hazards in dangerous construction environments proved to be one ofthe main sources of injuries and accidents. Hazard recognition is crucial toachieve effective safety management and reduce injuries and fatalities inhazardous job sites. Still, there has been lack of effort that can efficientlyassist workers in improving their hazard recognition skills. This studypresents virtual safety training in an Immersive Virtual Environment (IVE) toenhance worker's hazard recognition skills. A worker wearing a Virtual Reality(VR) device, that is equipped with an eye-tracker, virtually recognizes hazardson simulated construction sites while a brainwave-sensing device records brainactivities. This platform can analyze the overall performance of the workers ina visual hazard recognition task and identify hazards that need additionalintervention for each worker. This study provides novel insights on how aworker's brain and eye act simultaneously during a visual hazard recognitionprocess. The presented method can take current safety training programs intoanother level by providing personalized feedback to the workers.

Hazard recognition in an immersive virtual environment: Framework for the simultaneous analysis of visual search and EEG patterns