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

中文翻译：

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沉浸式虚拟环境中的危险识别：同时分析视觉搜索和 EEG 模式的框架

事实证明，危险建筑环境中未经管理的危害是造成伤害和事故的主要来源之一。危险识别对于实现有效的安全管理和减少危险作业现场的伤亡人数至关重要。尽管如此，仍然缺乏可以有效帮助工人提高危险识别技能的努力。本研究在沉浸式虚拟环境 (IVE) 中提供虚拟安全培训，以提高工人的危险识别技能。一名工人佩戴配备有眼动仪的虚拟现实 (VR) 设备，可以虚拟识别模拟建筑工地的危险，而脑电波感应设备则记录大脑活动。该平台可以分析工人在视觉危险识别任务中的整体表现，并为每个工人识别需要额外干预的危险。这项研究提供了关于工人的大脑和眼睛在视觉危险识别过程中如何同时行动的新见解。通过向工人提供个性化的反馈，所提出的方法可以将当前的安全培训计划提升到另一个层次。