Conceptualization of a project-specific and personalized construction hazard management and recognition training system

Date

2025-7

Author

Özel, Bekir Enes

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The perilousness of construction sites is well-known. The need for competent safety management is apparent as well. Although hazard recognition is crucial for safety management, studies show an alarmingly high portion of hazards remain unrecognized in construction sites. This situation indicates that better methods are required to understand the process of hazard recognition more profoundly and to measure the hazard recognition skills of construction professionals, as well as better approaches for safety training and hazard management are needed. This dissertation deploys stand-alone immersive virtual reality and eye tracking, along with real-time development platforms (game engines) for hazard recognition research. The presented system, namely SafeGaze, offers a mobile, flexible, easy-to-use, and high-fidelity solution that is capable of gathering varied and precise data about the hazard recognition skills of construction professionals. The proposed system then uses this data to offer project-specific and personalized hazard recognition training. The system is partially implemented within the framework of the dissertation and several experiments and tests were conducted. Experiments that aim to evaluate and compare the system in terms of presence, simulator sickness, usability, eye-tracking-based measurement performance, and hardware performance were conducted. The aimed contributions are introducing an advanced system for safety management and training, providing an explicit set of rules for gathering and analyzing eye tracking data for safety research and training, presenting an inclusive pipeline for scan-to-extended-reality process, and suggesting optimization methods for high-fidelity virtual environments for the utilization of stand-alone head mounted displays in construction sites.

Subject Keywords

Construction safety, Digital twins, Human-computer interaction, Immersive virtual reality, 3D visualization

URI

https://hdl.handle.net/11511/115471

Collections

Graduate School of Natural and Applied Sciences, Thesis