Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation
| Autor: | Pooya Adami, Yasemin Copur-Gencturk, Peter J. Woods, Gale M. Lucas, Patrick B. Rodrigues, Lucio Soibelman, Burcin Becerik-Gerber |
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| Rok vydání: | 2021 |
| Předmět: |
Computer science
business.industry 05 social sciences 0211 other engineering and technologies 050301 education Qualitative property Robotics 02 engineering and technology Building and Construction Virtual reality Training (civil) Knowledge acquisition Engineering management Artificial Intelligence 021105 building & construction Teleoperation Robot Artificial intelligence Apprenticeship business 0503 education Information Systems |
| Zdroj: | Advanced Engineering Informatics. 50:101431 |
| ISSN: | 1474-0346 |
| DOI: | 10.1016/j.aei.2021.101431 |
| Popis: | The emergence of construction robotics and automation has produced an urgent and vast need for construction workers to reskill and upskill for the future of work. Virtual Reality (VR)-based training has been considered and investigated as a safe and cost-effective training method that allows workers to be exposed to hazardous tasks with negligible actual safety risks in comparison to existing training methods (hands-on, lecture-based, apprenticeship training). This paper aims to investigate the impact of VR-based training on construction workers’ knowledge acquisition, operational skills, and safety behavior during robotic teleoperation compared to the traditional in-person training method. Fifty construction workers were randomly assigned to complete either VR-based or in-person training for operating a demolition robot. We used quantitative and qualitative data analyses to answer our research questions. Our results indicate that VR-based training was associated with a significant increase in knowledge, operational skills, and safety behavior compared to in-person training. Our findings suggest that VR-based training not only provides a viable and effective option for future training programs but a valuable option for construction robotics safety and skill training. |
| Databáze: | OpenAIRE |
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