Process and Outcome-based Evaluation between Virtual Really-driven and Traditional Construction Safety Training
Han, Y., Yang, J., Diao, Y., Jin, R., Guo, B. and Adamu, Z. (2022). Process and Outcome-based Evaluation between Virtual Really-driven and Traditional Construction Safety Training . Advanced Engineering Informatics.
|Authors||Han, Y., Yang, J., Diao, Y., Jin, R., Guo, B. and Adamu, Z.|
The emerging digital technologies such as virtual reality (VR) provide an alternative platform for construction safety training. In order to explore how digital-driven technologies affect the effectiveness of safety training, there is a need to empirically test the differences in performance between digital 3D/VR safety training and traditional 2D/paper approach. This research conducted a performance evaluation that emphasises both the training process and learning outcomes of trainees based on researchers’ self-developed immersive construction safety training platform. Data related to physiological indicators such as skin resistance were collected to measure safety performance before and after the training. The detailed measurement indicators included nine categories (e.g., immersion, inspiration) to form a holistic list of evaluation dimensions. The findings revealed that VR-driven immersive safety training outperformed the traditional way for trainees in terms of both process and outcome-based indicators. Results confirmed that safety training was no longer constrained by understanding or memorizing 2D information (texts and images). Instead, trainees experienced a stronger sense of embodied cognition through the immersive experience and multi-sensory engagement by interacting with the VR-driven system. By engaging the theory of embodied cognition, this research provides both the empirical evidence and in-depth analysis of how immersive virtual safety training outperforms traditional training in terms of both training process and outcomes.
|Keywords||construction safety; embodied cognition; safety training; virtual reality; immersive technology; hazard recognition|
|Journal||Advanced Engineering Informatics|
|Publication process dates|
|Accepted||10 May 2022|
|Deposited||23 May 2022|
|Accepted author manuscript|
Accepted author manuscript
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