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Mixed reality environment for learning sensing technology applications in Construction: A usability study
Affiliation:1. Construction Engineering and Management, Myers Lawson School of Construction, Virginia Tech, Blacksburg, VA, United States;2. Engineering Education, Virginia Tech, Blacksburg, VA, United States;3. Computer Science and Center for Human-Computer Interaction, Virginia Tech, Blacksburg, VA, United States;4. Construction Engineering and Management, Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, United States;1. Department of Engineering, University of Cambridge, United Kingdom;2. Department of Technology, Illinois State University, United States;3. Department of Neuroscience, Physiology, and Pharmacology, University College London, United Kingdom;4. Laing O’Rourke Professor, Department of Engineering, University of Cambridge, United Kingdom;1. Yangzhou Polytechnic Institute, China;2. College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;3. Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta T2N 1N4, Canada;4. NingboTech University, Ningbo 315100, China;1. Department of Mathematics, Weifang University, Weifang 261061, Sandong, China;2. Department of Electrical Engineering, Imam Khomeini Marine Science University, Nowshahr, Iran;3. Department of Information Technology, College of Engineering and Computer Science, Lebanese French University, Kurdistan Region, Iraq;4. Department of Communication and Computer Engineering, Faculty of Engineering, Cihan University-Erbil, Kurdistan Region, Iraq;1. Center for Image Analysis (OGAM), Middle East Technical University, Dumlupınar Bulvarı No:1, 06800 Ankara, Turkey;2. Department of Architecture, Middle East Technical University, Dumlupınar Bulvarı No:1, 06800 Ankara, Turkey;3. Department of Electrical and Electronics Engineering, Middle East Technical University, Dumlupınar Bulvarı No:1, 06800 Ankara, Turkey;4. Heriot-Watt University, School of Energy, Geoscience, Infrastructure and Society, Institute for Sustainable Building Design, Edinburgh EH14 4AS, Scotland;5. Department of Computer Engineering, Middle East Technical University, Dumlupınar Bulvarı No:1, 06800 Ankara, Turkey;1. Key Laboratory of Modern Engineering Mechanics, Tianjin University, Tianjin 300350, China;2. Design and Research Institute of Tunneling Machine, China Railway Construction Heavy Industry, Changsha 410100, China
Abstract:Mixed reality is gradually becoming ubiquitous and significant in education owning to the inherent benefits of active participation and tacit knowledge development in a safe and engaging environment. However, limited studies have explored design features that facilitate its use as a pedagogical tool in construction education, particularly in equipping students with experiential skills that are otherwise challenging to obtain due to resource constraints and limited access to construction sites. By evaluating eye tracking, usability questions, and think-aloud protocol data and verbal feedback, this study investigated the usability of a mixed reality environment designed for equipping construction engineering students with competencies for deploying sensing technologies on construction projects. Results revealed features such as accuracy of represented construction activities, quality of animations, and easy access to information and resources as important for designing efficient mixed reality learning environments. While the usability data suggested that the user interface was usable, eye tracking provided profundity on encountered difficulties with the user interface. Through concise outline and sequential design of the user interface, this study revealed that knowledge scaffolding can improve task performance in a mixed reality learning environment. This study adds value to existing literature, in particular by providing insights into the affordances of mixed reality environments that address the technological gap between the construction industry and construction engineering education. The mixed reality learning environment contributes to the cognitive apprenticeship theory through the use of game objects to develop procedural knowledge for addressing construction industry challenges with sensing technologies.
Keywords:Mixed Reality  Sensing Technologies  Eye Tracking  Laser Scanning  Construction Education  Usability study
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