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contributor authorWen-Der Yu
contributor authorKun-Chi Wang
contributor authorHsien-Tang Wu
date accessioned2022-08-18T12:10:48Z
date available2022-08-18T12:10:48Z
date issued2022/06/20
identifier other%28ASCE%29CO.1943-7862.0002337.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4286146
description abstractStatistics show that novice and experienced construction workers face different risks of construction accidents. However, there is very little work on this topic. This study conducted empirical experiments to quantifying the effectiveness of immersive virtual-reality-based safety training (IVST) across 6 worker specialties in terms of facing 17 hazardous scenarios at real construction sites. An immersive virtual reality–based safety training system (IVSTS) is proposed to measure the effectiveness of IVST programs with regard to six specialties in 2 controlled groups: (1) novice workers (40 college students), and (2) experienced workers (40 randomly selected construction practitioners). The study results indicate that the proposed IVSTS improved the safety performance index of all 80 participants by 14.12% in terms of correct selection of personal protection equipment, and by 28.95% in terms of hazardous scenario identification. The improvement of safety learning performance of the novice workers was better than that of the experienced workers, especially for hazardous scenario identification, with a 15.90% higher improvement index. The improvement suggestions for the existing IVST program were summarized according to the influence of the individual characteristics of the trainees on the learning effect between the novice and the experienced IVST programs.
publisherASCE
titleEmpirical Comparison of Learning Effectiveness of Immersive Virtual Reality–Based Safety Training for Novice and Experienced Construction Workers
typeJournal Article
journal volume148
journal issue9
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0002337
journal fristpage04022078
journal lastpage04022078-13
page13
treeJournal of Construction Engineering and Management:;2022:;Volume ( 148 ):;issue: 009
contenttypeFulltext


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