Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Augmented Reality-Based Vocational Training for the Construction Workforce: Prototype Development and Experiment Design
https://orcid.org/http://orcid.org/0000-0002-1246-158X
https://orcid.org/http://orcid.org/0000-0003-1409-3562
https://orcid.org/http://orcid.org/0000-0001-6802-033X
When the shortage, aging, and high turnover of the construction workforce all occur simultaneously, it becomes critical to quickly absorb new employment populations and equip them with the skills they need. Traditional training methods, such as in-person mentorship meetings, text-based user manuals, and video tutorials, are inefficient because they don't match the realities of the job or the ways workers learn. However, due to the increasing complexity of construction tasks, construction personnel are required to not only accurately conduct error-minimized operations, but also to develop decision-making cognition to handle a variety of situations. Augmented Reality (AR), integrated with other digital technologies, offers a promising solution for upgrading vocational training to a flexible and interactive mode. This research developed an AR-based training platform to superimpose tasks’ Standard Operation Procedures (SOP) into the real-world counterparts, to provide visual guidance and real-time feedback based on performance indicators. In this way, it realizes the cumulative reuse of worthwhile training materials and the evolution of best practices over time. The study designed experiments, used the HoloLens 2 to complete specific tasks, and illustrated the platform's applicability. The findings offer valuable insights for both researchers and practitioners to integrate AR into training agendas, accelerate the workforce’s acquisition of task procedures, improve task performance, and remedy labor dilemmas in the construction industry.
Augmented Reality-Based Vocational Training for the Construction Workforce: Prototype Development and Experiment Design
https://orcid.org/http://orcid.org/0000-0002-1246-158X
https://orcid.org/http://orcid.org/0000-0003-1409-3562
https://orcid.org/http://orcid.org/0000-0001-6802-033X
When the shortage, aging, and high turnover of the construction workforce all occur simultaneously, it becomes critical to quickly absorb new employment populations and equip them with the skills they need. Traditional training methods, such as in-person mentorship meetings, text-based user manuals, and video tutorials, are inefficient because they don't match the realities of the job or the ways workers learn. However, due to the increasing complexity of construction tasks, construction personnel are required to not only accurately conduct error-minimized operations, but also to develop decision-making cognition to handle a variety of situations. Augmented Reality (AR), integrated with other digital technologies, offers a promising solution for upgrading vocational training to a flexible and interactive mode. This research developed an AR-based training platform to superimpose tasks’ Standard Operation Procedures (SOP) into the real-world counterparts, to provide visual guidance and real-time feedback based on performance indicators. In this way, it realizes the cumulative reuse of worthwhile training materials and the evolution of best practices over time. The study designed experiments, used the HoloLens 2 to complete specific tasks, and illustrated the platform's applicability. The findings offer valuable insights for both researchers and practitioners to integrate AR into training agendas, accelerate the workforce’s acquisition of task procedures, improve task performance, and remedy labor dilemmas in the construction industry.
Augmented Reality-Based Vocational Training for the Construction Workforce: Prototype Development and Experiment Design
https://orcid.org/http://orcid.org/0000-0002-1246-158X
https://orcid.org/http://orcid.org/0000-0003-1409-3562
https://orcid.org/http://orcid.org/0000-0001-6802-033X
When the shortage, aging, and high turnover of the construction workforce all occur simultaneously, it becomes critical to quickly absorb new employment populations and equip them with the skills they need. Traditional training methods, such as in-person mentorship meetings, text-based user manuals, and video tutorials, are inefficient because they don't match the realities of the job or the ways workers learn. However, due to the increasing complexity of construction tasks, construction personnel are required to not only accurately conduct error-minimized operations, but also to develop decision-making cognition to handle a variety of situations. Augmented Reality (AR), integrated with other digital technologies, offers a promising solution for upgrading vocational training to a flexible and interactive mode. This research developed an AR-based training platform to superimpose tasks’ Standard Operation Procedures (SOP) into the real-world counterparts, to provide visual guidance and real-time feedback based on performance indicators. In this way, it realizes the cumulative reuse of worthwhile training materials and the evolution of best practices over time. The study designed experiments, used the HoloLens 2 to complete specific tasks, and illustrated the platform's applicability. The findings offer valuable insights for both researchers and practitioners to integrate AR into training agendas, accelerate the workforce’s acquisition of task procedures, improve task performance, and remedy labor dilemmas in the construction industry.
Augmented Reality-Based Vocational Training for the Construction Workforce: Prototype Development and Experiment Design
Lecture Notes in Civil Engineering
Desjardins, Serge (Herausgeber:in) / Poitras, Gérard J. (Herausgeber:in) / Nik-Bakht, Mazdak (Herausgeber:in) / Xiang, Yuan (Autor:in) / Qipei, Mei (Autor:in) / Xinming, Li (Autor:in)
Canadian Society of Civil Engineering Annual Conference ; 2023 ; Moncton, NB, Canada
18.12.2024
13 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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