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http://hdl.handle.net/10397/105254
Title: | Efficiency of VR-based safety training for construction equipment : hazard recognition in heavy machinery operations | Authors: | Shringi, A Arashpour, M Golafshani, EM Rajabifard, A Dwyer, T Li, H |
Issue Date: | Dec-2022 | Source: | Buildings, Dec. 2022, v. 12, no. 12, 2084 | Abstract: | Machinery operations on construction sites result in many serious injuries and fatalities. Practical training in a virtual environment is the key to improving the safety performance of machinery operators on construction sites. However, there is limited research focusing on factors responsible for the efficiency of virtual training in increasing hazard identification ability among novice trainees. This study analyzes the efficiency of virtual safety training with head-mounted VR displays against flat screen displays among novice operators. A cohort of tower crane operation trainees was subjected to multiple simulations in a virtual towards this aim. During the simulations, feedback was collected using a joystick to record the accuracy of hazard identification while a post-simulation questionnaire was used to collect responses regarding factors responsible for effective virtual training. Questionnaire responses were analyzed using interval type-2 fuzzy analytical hierarchical process to interpret the effect of display types on training efficiency while joystick response times were statistically analyzed to understand the effect of display types on the accuracy of identification across different types of safety hazards. It was observed that VR headsets increase the efficiency of virtual safety training by providing greater immersion, realism and depth perception while increasing the accuracy of hazard identification for critical hazards such as electric cables. | Keywords: | Depth-perception Emerging mixed reality technologies Hazard identification Heavy machinery operations Safety training Type-2 fuzzy AHP |
Publisher: | Molecular Diversity Preservation International (MDPI) | Journal: | Buildings | EISSN: | 2075-5309 | DOI: | 10.3390/buildings12122084 | Rights: | © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). The following publication Shringi A, Arashpour M, Golafshani EM, Rajabifard A, Dwyer T, Li H. Efficiency of VR-Based Safety Training for Construction Equipment: Hazard Recognition in Heavy Machinery Operations. Buildings. 2022; 12(12):2084 is available at https://doi.org/10.3390/buildings12122084. |
Appears in Collections: | Journal/Magazine Article |
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buildings-12-02084-v2.pdf | 21.16 MB | Adobe PDF | View/Open |
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