Drone Flights and Worker Visual Attention: A Quantitative Study of Distraction and Hazard Awareness

Drones are increasingly used in construction for progress tracking, safety monitoring, and inspection. However, their presence may divert workers’ visual attention, reducing their ability to recognize hazards and increasing the risk of accidents. While some studies have explored drone-related distractions, few have used quantitative methods, and none have examined how drone flight height and direction affect workers’ hazard awareness. This study investigates this issue using a controlled experiment in a virtual construction environment. Twenty-four participants performed material handling tasks across seven scenes with varying drone configurations using a virtual reality (VR) headset and an omnidirectional treadmill. Eye-tracking data were collected to analyze gaze fixation time and count on hazard areas and the sky. Results showed that drones approaching from the front and flying at lower heights (16 ft and 48 ft) caused the most distraction, significantly reducing visual attention to danger zones. These findings provide insight into how drone behavior can influence worker focus and site safety. In addition, this study contributes a validated, repeatable experimental protocol that integrates immersive VR, spatial audio, and full-body interaction. The protocol offers a scalable experimental protocol for future research on drone-induced distraction and supports the development of safer drone operation practices in construction environments.

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Publication Details

Journal
Journal of Construction Engineering and Management
Published
2025-08-28
DOI
https://doi.org/10.1061/jcemd4.coeng-16567
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
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article

Drone Flights and Worker Visual Attention: A Quantitative Study of Distraction and Hazard Awareness

Fei Dai, Zhenhua Zhu, Wei-Yin Loh, Wei Han et al.
Journal of Construction Engineering and Management
Human-Automation Interaction and Safety
article

Drone Flights and Worker Visual Attention: A Quantitative Study of Distraction and Hazard Awareness

Fei Dai, Zhenhua Zhu, Wei-Yin Loh, Wei Han, Liqun Xu, Mahfuza Maisha Mouri
article en

Abstract

Drones are increasingly used in construction for progress tracking, safety monitoring, and inspection. However, their presence may divert workers’ visual attention, reducing their ability to recognize hazards and increasing the risk of accidents. While some studies have explored drone-related distractions, few have used quantitative methods, and none have examined how drone flight height and direction affect workers’ hazard awareness. This study investigates this issue using a controlled experiment in a virtual construction environment. Twenty-four participants performed material handling tasks across seven scenes with varying drone configurations using a virtual reality (VR) headset and an omnidirectional treadmill. Eye-tracking data were collected to analyze gaze fixation time and count on hazard areas and the sky. Results showed that drones approaching from the front and flying at lower heights (16 ft and 48 ft) caused the most distraction, significantly reducing visual attention to danger zones. These findings provide insight into how drone behavior can influence worker focus and site safety. In addition, this study contributes a validated, repeatable experimental protocol that integrates immersive VR, spatial audio, and full-body interaction. The protocol offers a scalable experimental protocol for future research on drone-induced distraction and supports the development of safer drone operation practices in construction environments.

Journal of Construction Engineering and ManagementVol. 151(11)
West Virginia University (US), University of Wisconsin–Madison (US)
Openalex Percentile: Top 74%
Human-Automation Interaction and Safety
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Drone Flights and Worker Visual Attention: A Quantitative Study of Distraction and Hazard Awareness — Fei Dai, Zhenhua Zhu, et al. · Journal of Construction Engineering and Management (2025) | TGRS Research Map | TGRS