Construction projects are complex and dynamic, characterized by a series of interrelated and interdependent activities. Frequent changes in pre-existing conditions during construction are one factor that contributes to exposure of workers to hazards. Identifying the hazards that may lead to accidents during construction work requires effective communication. Unfortunately, current practices that rely on modes such as phone calls and video conferencing do not facilitate instant access to information, context-based perception, and visual interaction that are essential for effective communication in modern construction workplaces. This research work attempted to evaluate the feasibility of applying an emerging mixed-reality technology in enhancing communication at construction jobsites. To this end, this research developed a holographic application that runs on Microsoft HoloLens ®. This platform enables real-time collaboration and access in three-dimensional space where users can overlay the real world with digital objects and annotations. This was followed by an evaluation of the implemented holographic application through trials and feedback from participants in the construction industry. The performance metrics designed for assessment included accuracy, efficiency, ease-of-use, and acceptability of the proposed technology benchmarked against the existing communication techniques (i.e., phone calls, walking up to people and talking, and video conferencing). Results from the analysis showed a high potential for the mixed reality technology to enhance risk communication and hazard identification. It may ameliorate the safety management practices thereby reducing the incidences of injuries and fatalities on construction sites. I would also like to thank the rest members of my thesis committee: Drs. Roger Chen and Yoojung Yoon for their constructive critiques and valuable comments, which really motivated me to broaden my perspective and aim at nothing but the best. My research focuses on construction safety, which requires continuous collaboration with numerous teams and organizations. To this end, I would like to acknowledge the support of this research by the U.S. Center for Construction Research and Training (CPWR). I am also grateful to all the participating construction companies who volunteered to take part in the experiments and provided the crucial feedback for this study. I thank my lab mates and colleagues for their thoughtprovoking interactions and suggestions during the period of this research and throughout the duration of my program. I want to seize this opportunity to thank my parents (my mom and the evergreen memory of my dad), brothers, sisters, cousins and nephews especially, Dr. Taiwo Ajayi and his family, for their support, encouragement, and motivation during my study. Lastly, I want to express special gratitude to my loving and supportive wife, Florence, and my two wonderful children, Ayomide and Semilore, for their unending inspiration and for holding forth in my many nights of absence away in ...
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