Relationship Between Accident Risk in Construction Machinery Maintenance and Eye Tracking Data

The domain of construction machinery maintenance involves high-risk tasks, such as replacing substantial components and working at elevated heights. As a result, the occurrence of work-related accidents in this field exceeds that in com-parable sectors like automobile maintenance. In our effort to gain an understanding of these accidents, our study focused workers eye tracking. To begin with, we leveraged eye-tracking technology to the tracking data of approximately 500 individuals engaged in the maintenance of construction Machinery. In this eye-tracking test, subjects viewed five videos demonstrating various maintenance tasks, and we recorded their visual engagement after each video. Simultaneously, we employed a questionnaire to gain insights into predictive safety measures and strategies for preventing accidents for each of the five videos. Subsequently, we analyzed the accumulated eye-tracking data using both hierarchical and non-hierarchical clustering techniques to classify and interpret trends in gaze conditions. Additionally, we assessed the occupational accident history of the subjects and predicted their accident risks through questionnaires, considering occupational accident risks for each category of gaze status. Through these analyses, we elucidated the relationship between gaze conditions, work-related accidents, and associated risks.