In the construction environment with high attention requirements, distraction is the main cause of unsafe behavior and safety performance degradation. However, few studies have focused on distraction's cognitive features and how to monitor it objectively in the construction workplace. To fill the research gap, the present study examined the correlation between distraction and brain activity using an Electroencephalography (EEG) device, intending to provide an approach for objectively monitoring worker distraction. In the simulated hazards identification activity, sustained attention to response task and dual-task paradigms have been employed to induce distraction combined with noise interference. Twenty-seven subjects participated in the experiment to identify whether a hazardous opening exists or not in the workplace in the shown images. The EEG waves were recorded and divided into two groups according to task performance: focused and distracted. Through feature calculation and extraction, it was found that beta and gamma powers in the left temporal and right pre-frontal cortex can distinguish these two statuses, particularly in channels T7 and AF4. The indicators can be considered as an objective evaluation of an individual's sustained attention and attention failures. The developed indicators located in specified brain zones can also be used as a reference for attention training. By providing safety managers with attention status about the workers in high-risk workplaces, distraction detection contributes to control and regulate work error and improper operation, which can extend to apply in other attentive jobs like drivers, pilots, surgeons, and lifeguards.

在要求高度关注的建筑环境中，分心是不安全行为和安全性能下降的主要原因。但是，很少有研究关注于分心的认知特征以及如何在建筑工作场所客观地对其进行监控。为了填补研究空白​​，本研究使用脑电图（EEG）设备检查了分心与大脑活动之间的相关性，旨在提供一种客观监控工人分心的方法。在模拟的危害识别活动中，对响应任务和双重任务范式的持续关注已被采用来诱发注意力分散和噪声干扰。二十七名受试者参加了实验，以显示的图像识别工作场所中是否存在危险的开口。记录脑电波，根据任务表现将其分为两组：集中注意力和分散注意力。通过特征计算和提取，发现左颞叶皮层和右前额叶皮层中的beta和γ幂可以区分这两种状态，尤其是在通道T7和AF4中。指标可被视为对个人持续关注和关注失败的客观评估。位于特定大脑区域的发达指标也可以用作注意力训练的参考。通过为安全管理人员提供有关高风险工作场所工人注意的状态，分心检测有助于控制和调节工作错误和不当操作，从而可以扩展到其他专心的工作中，例如驾驶员，飞行员，外科医生和救生员。