Human-Augmented Technology Interaction (HATI) for Improving Construction Quality Control and Task Monitoring: An Application of Augmented Reality (AR) for Visualization and Remote Project Management Support
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2022-12-01
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Alternative Title:Human-Augmented Technology Interaction (HATI) for Improving Construction Quality Control and Task Monitoring: An Application of Augmented Reality (AR) for Visualization and Remote Project Management Support;Final Report and User Guide [Project Title from Cover];
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Edition:Final Report January 2020 to December 2022
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Abstract:Construction projects often require effective communication between project participants dispersed across various physical locations. Traditional methods of communication might rely on site visits or telephone calls. However, site visits can lead to wasted time traveling to remote sites, and phone calls can omit critical site details due to limited visual context. Augmented Reality (AR) can, in theory, support site communication by offering a visual understanding similar to site visits but with the efficiency of telephone calls. The goal of this research was to study AR efficiency in active construction sites (i.e., uncontrolled settings). The research team used video recordings, interviews, and feedback from NDOT practitioners who used AR and those who have not yet used it. The team also studied users’ behaviors and perceptions which influence communication efficiency and effectiveness through the use of two methods of AR: the Trimble XR10 and mobile computing devices (i.e., cellphones and tablets). After analyzing twenty recorded video calls and follow-up interviews fourteen factors were revealed, which were categorized into four categories: technology, people, process, and environment. Recommendations were made to overcome some environment and technology-related factors, creating a framework to help users choose the recommended AR communication application depending on particular scenarios and conditions. In addition, the authors conducted a series of Delphi panel reviews, which aimed to elicit input from experts and targeted users about their understanding of AR.
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