Impacts of Real and Virtual Environments on Construction Safety Knowledge Learning in Virtual Reality Classrooms
Source abstract
Abstract
Background: As construction safety training increasingly shifts toward virtual reality (VR)-based learning platforms, concerns have emerged regarding whether real ambient and virtual visual conditions may affect safety knowledge learning and cognitive responses; Methods: This study examined how real ambient factors (temperature and sound) and virtual visual factors (window view and visual complexity) influenced perceived environmental distraction, subjective workload, learning experience, and EEG-based cognitive responses in a VR classroom. Forty-eight university students completed a construction safety knowledge learning task and were categorized into high- and low-performing groups based on learning gains. Subjective responses were measured using post-experimental questionnaires, while EEG indicators included mental workload, attention, and mental fatigue. Results: Based on independent-samples t-tests, group-specific Spearman correlations, descriptive analyses, and two-way interaction regression, the results revealed: (1) Low-performing students reported greater disturbance from temperature and sound, and higher mental demand and effort. (2) Nominal associations between environmental factors and subjective outcomes were broader in the low-performing group. (3) The EEG results served mainly as supplementary descriptive evidence, showing individual variability in cognitive responses. (4) Learning scores varied across environmental combinations, with Temperature × Sound emerging as the only significant interaction. Conclusions: These findings guide cognitively supportive VR-based construction safety learning environments.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Virtual Reality Applications and Impacts · Occupational Health and Safety Research · Human-Automation Interaction and Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Construction Management and Real Estate, School of Economics and Management, Nanjing Tech University, No. 30 Puzhu South Road, Nanjing 211816, China
Funding
National Natural Science Foundation of China · Social Science Foundation of Jiangsu Province · Nanjing Tech University
References (67)
Show source-provided references
1. Alzarrad, A.A., Miller, M.M., Durham, L.D., and Chowdhury, S. (2024). Revolutionizing construction safety: Introducing a cutting-edge virtual reality interactive system for training US construction workers to mitigate fall hazards. Front. Built Environ., 10.10.3389/fbuil.2024.1320175 ↗
2. Virtual reality for safety training: A systematic literature review and meta-analysis10.1016/j.ssci.2023.106372 ↗
3. Are virtual reality applications effective for construction safety training and education? A systematic review and meta-analysis10.1016/j.jsr.2023.11.011 ↗
4. Hiyasat, R., Luyten, L., and Bande, L. (2025). Integrating virtual reality to enhance thermal comfort in educational spaces: A pilot study towards sustainable learning environments. Sustainability, 17.10.3390/su17115033 ↗
5. Classrooms’ indoor environmental conditions affecting the academic achievement of students and teachers in higher education: A systematic literature review10.1111/ina.12745 ↗
6. How indoor environmental quality affects occupants’ cognitive functions: A systematic review10.1016/j.buildenv.2021.107647 ↗
7. Virtual reality-based analysis of the effect of construction noise exposure on masonry work productivity10.1016/j.autcon.2023.104844 ↗
8. The influence of virtual environment on thermal perception: Physical reaction and subjective thermal perception on outdoor scenarios in virtual reality10.1007/s00484-023-02495-3 ↗
9. Llinares, C., Higuera-Trujillo, J.L., and Montañana, A. (2023). A comparative study of real and virtual environment via psychological and physiological responses. Appl. Sci., 14.10.3390/app14010232 ↗
10. Application of virtual reality to assess thermal, visual perception, and users’ adaptive behaviors for sedentary activities
11. The effects of noise on children’s cognitive performance: A systematic review10.1177/00139165241245823 ↗
12. Fernández-Quezada, D., Martínez-Fernández, D.E., Fuentes, I., García-Estrada, J., and Luquin, S. (2025). The influence of noise exposure on cognitive function in children and adolescents: A meta-analysis. NeuroSci, 6.10.20944/preprints202501.1366.v1 ↗
13. Astuti, R.D., Suhardi, B., Laksono, P.W., and Susanto, N. (2024). Investigating the relationship between noise exposure and human cognitive performance: Attention, stress, and mental workload based on EEG signals using power spectrum density. Appl. Sci., 14.10.3390/app14072699 ↗
14. Access to daylight and view in an office improves cognitive performance and satisfaction and reduces eyestrain: A controlled crossover study10.1016/j.buildenv.2019.106379 ↗
15. The impact of a view from a window on thermal comfort, emotion, and cognitive performance10.1016/j.buildenv.2020.106779 ↗
16. Boubekri, M., Lee, J., MacNaughton, P., Woo, M., Schuyler, L., Tinianov, B., and Satish, U. (2020). The impact of optimized daylight and views on the sleep duration and cognitive performance of office workers. Int. J. Environ. Res. Public Health, 17.10.3390/ijerph17093219 ↗
17. Cognitive-load theory: Methods to manage working memory load in the learning of complex tasks10.1177/0963721420922183 ↗
18. Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load10.1007/s10648-021-09624-7 ↗
19. Guo, Q., and Chen, Y. (2023). The effects of visual complexity and task difficulty on the comprehensive cognitive efficiency of cluster separation tasks. Behav. Sci., 13.10.3390/bs13100827 ↗
20. Interaction effects of indoor environmental quality factors on cognitive performance and perceived comfort of young adults in open plan offices in North American Mediterranean climate10.1016/j.buildenv.2023.110743 ↗
21. The cognitive affective model of immersive learning (CAMIL): A theoretical research-based model of learning in immersive virtual reality10.1007/s10648-020-09586-2 ↗
22. Construction safety training using immersive virtual reality10.1080/01446193.2013.828844 ↗
23. A critical review of virtual reality and augmented reality applications in construction safety10.1016/j.autcon.2017.11.003 ↗
24. Yoo, J.W., Park, J.S., and Park, H.J. (2023). Understanding VR-based construction safety training effectiveness: The role of telepresence, risk perception, and training satisfaction. Appl. Sci., 13.10.3390/app13021135 ↗
25. An, D., Deng, H., Shen, C., Xu, Y., Zhong, L., and Deng, Y. (2023). Evaluation of virtual reality application in construction teaching: A comparative study of undergraduates. Appl. Sci., 13.10.3390/app13106170 ↗
26. Learning science in immersive virtual reality10.1037/edu0000241 ↗
27. A case study of immersive virtual field trips in an elementary classroom: Students’ learning experience and teacher-student interaction behaviors10.1016/j.compedu.2019.103600 ↗
28. Effects of an immersive virtual reality-based classroom on students’ learning performance in science lessons10.1111/bjet.13028 ↗
29. The effectiveness of a 3D-virtual reality learning environment (3D-VRLE) on the Omani eighth grade students’ achievement and motivation towards physics learning
30. Virtual reality simulation of panoramic radiographic anatomy for dental students10.1002/jdd.13240 ↗
31. A new approach to business ethics education: Virtual reality-based flipped learning
32. Effects of immersive virtual reality simulation–based maternity nursing education: A randomized controlled trial10.1016/j.ecns.2024.101631 ↗
33. Examining the effect of immersive virtual reality on 11th-grade students’ creative thinking disposition and academic achievement10.1007/s44217-025-00880-1 ↗
34. Virtual reality simulation as a learning activity for nursing students in mental health practice10.1016/j.nepr.2025.104272 ↗
35. The impact of a progressive prompting-based VR learning approach on improving nursing students’ entrustable professional activity competence10.1007/s10055-025-01277-z ↗
36. The Role of Virtual Reality in Teaching Fractions in Mathematics for Students with Learning Disabilities10.1007/s10763-025-10636-w ↗
37. Impact of construction workers’ hazard identification skills on their visual attention10.1061/(ASCE)CO.1943-7862.0001373 ↗
38. Forecasting personal learning performance in virtual reality-based construction safety training using biometric responses10.1016/j.autcon.2023.105115 ↗
39. Impact of interactive learning elements on personal learning performance in immersive virtual reality-based construction safety training10.1016/j.eswa.2024.124099 ↗
40. Han, J. (2023). Prior knowledge as a moderator between signaling and cognitive loads, motivations, and learning in immersive virtual reality environments. Front. Psychol., 14.10.3389/fpsyg.2023.1118174 ↗
41. Investigating the effect of indoor thermal environment on occupants’ mental workload and task performance using electroencephalogram10.1016/j.buildenv.2019.05.012 ↗
42. Open-plan office noise: Cognitive performance and restoration10.1016/j.jenvp.2011.07.002 ↗
43. Measuring learning gain during a one-day introductory bronchoscopy course10.1007/s00464-010-1161-4 ↗
44. Optimizing the efficacy of learning objectives through pretests10.1187/cbe.19-11-0257 ↗
45. Jiang, X., Bian, G.-B., and Tian, Z. (2019). Removal of artifacts from EEG signals: A review. Sensors, 19.10.3390/s19050987 ↗
46. NASA-Task Load Index (NASA-TLX); 20 years later10.1177/154193120605000909 ↗
47. Hancock, P.A., and Meshkati, N. (1988). Development of NASA-TLX (Task Load Index): Results of empirical and theoretical research. Human Mental Workload, North-Holland.
48. A performance indicator of teaching quality in higher education: The Course Experience Questionnaire10.1080/03075079112331382944 ↗
49. The development, validation and application of the Course Experience Questionnaire10.1080/03075079712331381121 ↗
50. Assessing the teaching quality of accounting programmes: An evaluation of the Course Experience Questionnaire10.1080/02602930301668 ↗
51. Literature survey on how different factors influence human comfort in indoor environments10.1016/j.buildenv.2010.10.021 ↗
52. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms10.1109/TAU.1967.1161901 ↗
53. Jas, M., Larson, E., Engemann, D.A., Leppäkangas, J., Taulu, S., Hämäläinen, M., and Gramfort, A. (2018). A reproducible MEG/EEG group study with the MNE software: Recommendations, quality assessments, and good practices. Front. Neurosci., 12.10.3389/fnins.2018.00530 ↗
54. Estimating brain load from the EEG10.1100/tsw.2009.83 ↗
55. EEG theta/beta ratio as a potential biomarker for attentional control and resilience against deleterious effects of stress on attention10.3758/s13415-013-0238-7 ↗
56. Do not look away! Spontaneous frontal EEG theta/beta ratio as a marker for cognitive control over attention to mild and high threat10.1016/j.biopsycho.2018.03.002 ↗
57. Frontal EEG theta/beta ratio as an electrophysiological marker for attentional control and its test-retest reliability10.1016/j.biopsycho.2016.09.008 ↗
58. The theta/beta ratio as an index of cognitive processing in adults with the combined type of attention deficit hyperactivity disorder10.1177/1550059419895142 ↗
59. Electroencephalogram assessment of mental fatigue in visual search
60. Assessment of mental fatigue using electroencephalography (EEG) and virtual reality (VR) for construction fall hazard prevention
61. Identifying mental fatigue of construction workers using EEG and deep learning10.1016/j.autcon.2023.104887 ↗
62. A systematic review of immersive virtual reality applications for higher education: Design elements, lessons learned, and research agenda10.1016/j.compedu.2019.103778 ↗
63. Impact of classroom environment on student wellbeing in higher education: Review and future directions10.1016/j.buildenv.2024.111958 ↗
64. Virtual reality sickness: A review of causes and measurements10.1080/10447318.2020.1778351 ↗
65. Cybersickness in current-generation virtual reality head-mounted displays: Systematic review and outlook10.1007/s10055-021-00513-6 ↗
66. Categorical and dimensional definitions and evaluations of symptoms of ADHD: History of the SNAP and the SWAN rating scales
67. Investigation of the physiological differences in the immersive virtual reality environment and real indoor environment: Focused on skin temperature and thermal sensation10.1016/j.buildenv.2019.03.013 ↗