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DC Field | Value | Language |
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dc.contributor.author | Han, Y | - |
dc.contributor.author | Yang, J | - |
dc.contributor.author | Diao, Y | - |
dc.contributor.author | Jin, R | - |
dc.contributor.author | Guo, B | - |
dc.contributor.author | Adamu, Z | - |
dc.date.accessioned | 2024-01-24T08:37:45Z | - |
dc.date.available | 2024-01-24T08:37:45Z | - |
dc.date.issued | 2022-05-20 | - |
dc.identifier | ORCID iD: Ruoyu Jin https://orcid.org/0000-0003-0360-6967 | - |
dc.identifier | 101634 | - |
dc.identifier.citation | Han, Y. et al. (2022) 'Process and outcome-based evaluation between virtual really-driven and traditional construction safety training', Advanced Engineering Informatics, 52, 101634, pp. 1 - 17. doi: 10.1016/j.aei.2022.101634. | en_US |
dc.identifier.issn | 1474-0346 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28076 | - |
dc.description.abstract | 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. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China (Grant No. 72071097); Humanities and Social Science Fund of Ministry of Education of China (CN) (Grant No. 20YJAZH034); 16th Talent Summit Program of Six Major Fields in Jiangsu Province (Grant No. SZCY-014). | en_US |
dc.format.extent | 1 - 17 | - |
dc.language | en | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2022 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0 (see: https://www.elsevier.com/about/policies/sharing). | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0 | - |
dc.subject | construction safety | en_US |
dc.subject | embodied cognition | en_US |
dc.subject | safety training | en_US |
dc.subject | virtual reality | en_US |
dc.subject | immersive technology | en_US |
dc.subject | hazard recognition | en_US |
dc.title | Process and outcome-based evaluation between virtual really-driven and traditional construction safety training | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1016/j.aei.2022.101634 | - |
dc.relation.isPartOf | Advanced Engineering Informatics | - |
pubs.publication-status | Published | - |
pubs.volume | 52 | - |
dc.identifier.eissn | 1873-5320 | - |
dc.rights.holder | Elsevier | - |
Appears in Collections: | Dept of Civil and Environmental Engineering Research Papers |
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FullText.pdf | Copyright © 2022 Elsevier. All rights reserved. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0 (see: https://www.elsevier.com/about/policies/sharing). | 1.92 MB | Adobe PDF | View/Open |
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