BARRIERS TO VIRTUAL REALITY ADOPTION IN ENGINEERING SAFETY TRAINING: A DELPHI CONSENSUS STUDY

Authors

  • Binyi Huang School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia
  • Khalegh Barati School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia
  • Liyun Jiang School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China
  • Xiaole Ren School of Civil and Environmental Engineering, The University of New South Wales, Sydney, Australia
  • Cong Wang MSC Student, The University of New South Wales, Sydney, Australia

DOI:

https://doi.org/10.20319/ictel.2025.449460

Keywords:

VR, Engineering Safety Training, AI, Delphi Method

Abstract

Virtual Reality (VR) supported by Artificial Intelligence (AI) offers immersive, data-driven opportunities to improve safety training in high-risk engineering environments. Yet, large-scale corporate deployment remains sporadic. This study applies a three-round Delphi process with 15 academic and industry experts from the University of New South Wales (UNSW), China Railway 25th Bureau, and Zhongyifeng Construction (Suzhou 2nd Bureau) to prioritise the obstacles that prevent VR adoption. Eighteen barriers extracted from Round 1 were rated in Rounds 2‑3. Consensus, assessed with Kendall’s coefficient of concordance (W), rose from 0.32 to 0.52, indicating strong convergence. High initial cost, inadequate IT infrastructure, limited management support, scarcity of domain-specific VR content, and lack of integration standards emerged as the top‑five critical barriers. Secondary constraints included workforce resistance, cybersickness, trainer preparedness, and technical compatibility issues. The paper offers evidence-based recommendations, including financial modelling, staged infrastructure upgrades, executive engagement strategies, content‑sharing consortia, and standard‑setting initiatives to accelerate safe, scalable deployment of AI-enhanced VR training in engineering organisations.

References

Al-Hamad, A., & Gilányi, A. (2025). Immersive VR safety training: Enhancing hazard recognition and compliance through 5M and 5S integration. Results in Engineering, 26, 105135.

https://doi.org/10.1016/j.rineng.2025.105135

Cossio, S., Chiappinotto, S., Dentice, S., Moreal, C., Magro, G., Dussi, G., Palese, A., & Galazzi, A. (2025). Cybersickness and discomfort from head-mounted displays delivering fully immersive virtual reality: A systematic review. Nurse Education in Practice, 85, 104376.

https://doi.org/10.1016/j.nepr.2025.104376

Dhalmahapatra, K., Maiti, J., & Krishna, O. B. (2021). Assessment of virtual reality based safety training simulator for electric overhead crane operations. Safety Science, 139, 105241. https://doi.org/10.1016/j.ssci.2021.105241

Lin, C.-C., Huang, A. Y. Q., & Lu, O. H. T. (2023). Artificial intelligence in intelligent tutoring systems toward sustainable education: A systematic review. Smart Learning Environments, 10(1), 41.

https://doi.org/10.1186/s40561-023-00260-y

Oje, A. V., Hunsu, N. J., & May, D. (2023). Virtual reality assisted engineering education: A multimedia learning perspective. Computers & Education: X Reality, 3, 100033. https://doi.org/10.1016/j.cexr.2023.100033

Rokooei, S., Shojaei, A., Alvanchi, A., Azad, R., & Didehvar, N. (2023). Virtual reality application for construction safety training. Safety Science, 157, 105925. https://doi.org/10.1016/j.ssci.2022.105925

Sadeghi, H., Cheung, C. M., Yunusa-Kaltungo, A., & Manu, P. (2025). A systematic review of occupational safety and health in modular integrated construction. Safety Science, 189, 106897.

https://doi.org/10.1016/j.ssci.2025.106897

Scorgie, D., Feng, Z., Paes, D., Parisi, F., Yiu, T. W., & Lovreglio, R. (2024). Virtual reality for safety training: A systematic literature review and meta-analysis. Safety Science, 171, 106372.

https://doi.org/10.1016/j.ssci.2023.106372

Seo, S., Park, H., & Koo, C. (2024). Impact of interactive learning elements on personal learning performance in immersive virtual reality for construction safety training. Expert Systems with Applications, 251, 124099.

https://doi.org/10.1016/j.eswa.2024.124099

Sudiarno, A., Dewi, R. S., Widyaningrum, R., Ma’arij, A. M. D., & Supriatna, A. Y. (2024). Investigating the future study area on VR technology implementation in safety training: A systematic literature review. Journal of Safety Science and Resilience, 5(2), 235–248.

https://doi.org/10.1016/j.jnlssr.2024.03.005

Taiwo, R., Bello, I. T., Abdulai, S. F., Yussif, A.-M., Salami, B. A., Saka, A., Ben Seghier, M. E. A., & Zayed, T. (2025). Generative artificial intelligence in construction: A delphi approach, framework, and case study. Alexandria Engineering Journal, 116, 672–698. https://doi.org/10.1016/j.aej.2024.12.079

Zhong, X., She, J., & Wu, X. (2024). Tech for social good: Artificial intelligence and workplace safety. Technology in Society, 79, 102745. https://doi.org/10.1016/j.techsoc.2024.102745

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Published

2025-08-21

How to Cite

Binyi Huang, Khalegh Barati, Liyun Jiang, Xiaole Ren, & Cong Wang. (2025). BARRIERS TO VIRTUAL REALITY ADOPTION IN ENGINEERING SAFETY TRAINING: A DELPHI CONSENSUS STUDY. PUPIL: International Journal of Teaching, Education and Learning, 449–460. https://doi.org/10.20319/ictel.2025.449460

Issue

2025: Proceedings of Teaching and Educational Research Association (TERA)

Section

Articles

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.