Restricted accessReview articleFirst published online 2026
Virtual reality and augmented reality technology for safety training in high-risk industries: A literature review on applications,perspectives and challenges
High-risk industries such as construction, mining, and oil and gas consistently face significant safety challenges due to inherently hazardous operations. Traditional safety training methods prove inadequate as they cannot realistically simulate dangerous conditions.
Objective
This research aimed to conduct a comprehensive review of the application of Virtual Reality (VR) and Augmented Reality (AR) technologies as innovative solutions for safety training in high-risk environments.
Methods
A narraative literature review was performed using valid scientific databases (PubMed, Scopus, and Web of Science) from 2012 to 2025. The search employed broad keywords related to VR/AR and safety training. Studies were selected based on strict criteria including focus on non-medical, non-military applications in high-risk industries, robust methodology, and sufficient sample size. The snowballing technique was additionally used to identify relevant literature.
Results
The analysis demonstrated that VR/AR-based simulations significantly enhance safety training effectiveness across multiple applications including hazardous environment training, emergency response scenarios, and complex task training. These technologies improve learner engagement, practical skill retention, hazard identification capabilities, and reaction times while reducing human errors. VR-trained workers consistently outperformed traditionally-trained counterparts in practical assessments. Implementation challenges include high costs, need for specialized instructor training, and scenario localization requirements.
Conclusions
VR and AR technologies represent a transformative approach to safety training in high-risk industries, with demonstrated effectiveness in improving learning outcomes and safety preparedness. Future development should focus on creating cost-effective, cloud-based platforms and integrating artificial intelligence to enhance accessibility and adaptability, potentially leading to significant reductions in occupational injuries and advanced safety standards.
SoósRBaloghBDobosG, et al.Innovative technologies in training and education for maintenance team of NPPs. Epj Nucl Sci Technol2019; 5: 21.
2.
Kwegyir-AffulEOlaHTKantolaJI. Simulation-based assessments of fire emergency preparedness and response in virtual reality. Int J Occup Saf Ergon2022; 28: 1316–1330.
3.
JeelaniIHanKAlbertA. Development of virtual reality and stereo-panoramic environments for construction safety training. Eng Construct Archit Manag2020; 27: 1853–1876.
4.
AdamiPRodriguesPBWoodsPJ, et al.Effectiveness of VR-based training on improving construction workers’ knowledge, skills, and safety behavior in robotic teleoperation. Adv Eng Inf2021; 50: 101431.
5.
NakaiAKaihataYSuzukiK. The experience-based safety training system using Vr technology for chemical plant. Int J Adv Comput Sci Appl2014; 5: 11.
6.
MantelliLFerrandoMTraversoA, et al.Integration of dynamic models and virtual reality for the training of steam generator operators. J Energy Res Technol2023; 145: 061701.
7.
MancaDBrambillaSColomboS. Bridging between virtual reality and accident simulation for training of process-industry operators. Adv Eng Softw2013; 55: 1–9.
8.
FengZLovreglioRYiuTW, et al.Immersive virtual reality training for excavation safety and hazard identification. Smart Sustain Built Environ2024; 13: 883–907.
9.
IsleyenEDuzgunHS. Use of virtual reality in underground roof fall hazard assessment and risk mitigation. Int J Mining Sci Technol2019; 29: 603–607.
10.
GrabowskiAJankowskiJ. Virtual reality-based pilot training for underground coal miners. Saf Sci2015; 72: 310–314.
11.
MaYBennettDChenS-C. Perceived organisational support and university students’ career exploration: the mediation role of career adaptability. High Educ Res Dev2023; 42: 903–919.
12.
SoykaFNickelPRebeloF, et al.Use of AR/MR/VR in the context of occupational safety and health. Front Virtual Reality2025; 6: 1528804.
13.
BaoQLTranSV-TYangJ, et al.Token incentive framework for virtual-reality-based construction safety training. Autom Constr2024; 158: 105167.
14.
KaplanADCruitJEndsleyM, et al.The effects of virtual reality, augmented reality, and mixed reality as training enhancement methods: a meta-analysis. Hum Factors2021; 63: 706–726.
15.
KubrJLochmannovaAHorejsiP. Immersive virtual reality training in industrial settings: effects on memory retention and learning outcomes. IEEE Access2024; PP: 1.
16.
PackerRJordanK. Multimedia: from Wagner to virtual reality. New York: WW Norton & Company, 2002.
17.
LanierJ. Virtual reality: the promise of the future. Interact Learn Int1992; 8: 275–279.
18.
BenfordSGreenhalghCReynardG, et al.Understanding and constructing shared spaces with mixed-reality boundaries. ACM Trans Comput Hum Inter1998; 5: 185–223.
19.
LiXYiWChiH-L, et al.A critical review of virtual and augmented reality (VR/AR) applications in construction safety. Autom Constr2018; 86: 150–162.
20.
HouLWangXBernoldL, et al.Using animated augmented reality to cognitively guide assembly. J Comput Civ Eng2013; 27: 439–451.
21.
AlmujallyNARafiqueAAAl MudawiN, et al.Multi-modal remote perception learning for object sensory data. Front Neurorobot2024; 18: 1427786.
22.
KimMWangXLoveP, et al.Virtual reality for the built environment: a critical review of recent advances. J Inf Technol Construct2013; 18: 279–305.
23.
HuJJiangHXiaoZ, et al.Headtrack: real-time human–computer interaction via wireless earphones. IEEE J Sel Areas Commun2023; 42: 990–1002.
24.
KhanKSKunzRKleijnenJ, et al.Five steps to conducting a systematic review. J R Soc Med2003; 96: 118–121.
25.
BenittiFBV. Exploring the educational potential of robotics in schools: a systematic review. Comput Educ2012; 58: 978–988.
26.
Bar-IlanJ. Which h-index?—A comparison of WoS, scopus and google scholar. Scientometrics2008; 74: 257–271.
27.
WohlinCKalinowskiMFelizardoKR, et al.Successful combination of database search and snowballing for identification of primary studies in systematic literature studies. Inf Softw Technol2022; 147: 106908.
28.
AsadMMSherwaniFHassanRB, et al.Workforce safety education and training for oil and gas industry: a conceptual framework for virtual reality-based HAZFO expert 2.0. J Eng Des Technol2022; 20: 1122–1131.
29.
Garcia FracaroSChanPGallagherT, et al.Towards design guidelines for virtual reality training for the chemical industry. Educ Chem Eng2021; 36: 12–23.
30.
ShiYDuJAhnCR, et al.Impact assessment of reinforced learning methods on construction workers’ fall risk behavior using virtual reality. Autom Constr2019; 104: 197–214.
31.
SacksRAmotzPBarakR. Construction safety training using immersive virtual reality. Construct Manag Econ2013; 31: 1005–1017.
32.
Moltó CaracenaTVendrell VidalEGonçalvesJGM, et al.A KD-trees based method for fast radiation source representation for virtual reality dosimetry applications in nuclear safeguards and security. Prog Nucl Energy2017; 95: 78–83.
33.
FreitasVGGCarlos de Abreu MolAShirruR. Virtual reality for operational procedures in radioactive waste deposits. Prog Nucl Energy2014; 71: 225–231.
34.
DaglasHColemanGCharlandJ, et al.Virtual reality 3 D training for pipeline employees. Pipeline Gas J2012; 239: 44–49.
35.
EvangelistaAManghisiVMDe GiglioV, et al.From knowledge to action: assessing the effectiveness of immersive virtual reality training on safety behaviors in confined spaces using the kirkpatrick model. Saf Sci2025; 181: 106693.
36.
ChiuC-CChangY-MWanT-J. Characteristic analysis of occupational confined space accidents in taiwan and its prevention strategy. Int J Environ Res Public Health [Internet]2020; 17(5): 1752.
37.
LuoYFYangQSeoJ, et al.Theoretical framework for utilizing eye-tracking data to understand the cognitive mechanism of situational awareness in construction hazard recognition. J Manag Eng2024; 40(4): 04024027.
38.
SongWWangXJiangY, et al.Expressive 3d facial animation generation based on local-to-global latent diffusion. IEEE Trans Vis Comput Graph2024.
39.
SongWWangXZhengS, et al.TalkingStyle: personalized speech-driven 3D facial animation with style preservation. IEEE Trans Vis Comput Graph2024; 31(9): 4682–4694.
40.
LuSXuWWangF, et al.Serious game: confined space rescue based on virtual reality technology. 2020: 66–73.
41.
SaputraDIslamiM. Virtual reality-based simulation design for hazardous and toxic waste management in the cement industry. J Artif Intell Eng Appl (JAIEA)2025; 4: 990–995.
42.
SrinivasanBIqbalMUShahabMA, et al.Review of virtual reality (VR) applications to enhance chemical safety: from students to plant operators. ACS Chem Health Safety2022; 29: 246–262.
43.
LuSWangFLiX, et al.Development and validation of a confined space rescue training prototype based on an immersive virtual reality serious game. Adv Eng Inf2022; 51: 101520.
44.
LuSFengZLovreglioR, et al.Comparing the productive failure and directive instruction for declarative safety knowledge training using virtual reality. J Comput Assist Learn2024; 40: 1040–1051.
45.
LorussoPde IuliisMMarascoS, et al.Fire emergency evacuation from a school building using an evolutionary virtual reality platform. Buildings2022; 12: 223.
46.
XuLYangLZhangQ, et al.Research and application of simulation platform for blowout control and fire extinguishment. Nat Gas Ind2012; 32: 101–103.
47.
SunPLiuX. Research on remote operation and maintenance based on digital twin technology. Machines2025; 13: 151.
48.
Riofrio-MoralesMGarciaM. Training virtual reality-based system for detection and simulation of motors failures. J Phys: Conf Ser2021; 1983: 012099.
49.
HaoNZhangQZhangY, et al.Research on virtual simulation experiment teaching of scraper conveyor condition monitoring and fault diagnosis. J Educ Educ Res2024; 8: 16–21.
50.
ChecaDSaucedo-DorantesJJOsornio-RiosRA, et al.Virtual reality training application for the condition-based maintenance of induction motors. Appl Sci [Internet]2022; 12(1): 414.
51.
IstionoWPratamaA. Innovative virtual reality solutions for technical training in heavy construction equipment repair and maintenance. Indonesian J Electr Eng Comput Sci2025; 37: 627.
52.
ShamsuzzohaARaykoTVietVT, et al.Digital factory – virtual reality environments for industrial training and maintenance. Inter Learn Environ2019; 29: 1339–1362.
53.
HagitaKKodamaYTakadaM. Simplified virtual reality training system for radiation shielding and measurement in nuclear engineering. Prog Nucl Energy2020; 118: 103127.
54.
DhalmahapatraKMaitiJKrishnaOB. Assessment of virtual reality based safety training simulator for electric overhead crane operations. Saf Sci2021; 139: 105241.
55.
LucasJThabetWWorlikarP. A VR-based training program for conveyor belt safety. J Inf Technol Construct2008; 13: 381–407.
56.
NaqviSAMRazaMYbarraVT, et al.Using content analysis through simulation-based training for offshore drilling operations: implications for process safety. Process Saf Environ Prot2019; 121: 290–298.
57.
VieiraCBSeshadriVOliveiraRAR, et al.Applying virtual reality model to green ironmaking industry and education: a case study of charcoal mini-blast furnace plant. Trans Inst Mining Metall Sect C Miner Process Extr Metall2017; 126: 116–123.
58.
CaputoACPelagaggePMSaliniP. AHP-based methodology for selecting safety devices of industrial machinery. Saf Sci2013; 53: 202–218.
59.
PribadiAPRahmanYMRSilalahiCDAB. Analysis of the effectiveness and user experience of employing virtual reality to enhance the efficacy of occupational safety and health learning for electrical workers and graduate students. Heliyon2024; 10: e34918.
60.
BauerleTBrnichMJNavoyskiJ. Exploring virtual mental practice in maintenance task training. J Workplace Learn2016; 28: 294–306.
61.
NykänenMPuroVTiikkajaM, et al.Implementing and evaluating novel safety training methods for construction sector workers: results of a randomized controlled trial. J Saf Res2020; 75: 205–221.
62.
CooperNMillelaFCantI, et al.Transfer of training—virtual reality training with augmented multisensory cues improves user experience during training and task performance in the real world. PLOS ONE2021; 16: e0248225.
63.
LiuJLYanXLGaoWM. A dualistic perspective of opportunity and risk: the impact of head-mounted augmented reality on construction onsite hazard identification of workers. J Constr Eng Manag2024; 150(11): 04024160.
64.
EirisRGheisariMEsmaeiliB. PARS: Using augmented 360-degree panoramas of reality for construction safety training. Int J Environ Res Public Health2018; 15(11): 2452.
65.
HouLChiHLTarngW, et al.A framework of innovative learning for skill development in complex operational tasks. Autom Constr2017; 83: 29–40.
66.
GongPZLuYLovreglioR, et al.Comparing the effectiveness of AR training and slide-based training: The case study of metro construction safety. Saf Sci2024; 176: 106561.
67.
TkachukVYechkaloYBrovkoD, et al.Augmented and virtual reality tools in training mining engineers. Inzynieria Mineralna J Polish Miner Eng Soc2023; 1: 137–146.
68.
LeQTPedroALimCR, et al.A framework for using mobile based virtual reality and augmented reality for experiential construction safety education. Int J Eng Educ2015; 31: 713–725.
69.
AlamMFKatsikasSBeltramelloO, et al.Augmented and virtual reality based monitoring and safety system: a prototype IoT platform. J Netw Comput Appl2017; 89: 109–119.
70.
SacksRWhyteJSwissaD, et al.Safety by design: dialogues between designers and builders using virtual reality. Construct Manag Econ2015; 33: 55–72.
71.
LuoXLiHHuangT, et al.A field experiment of workers’ responses to proximity warnings of static safety hazards on construction sites. Saf Sci2016; 84: 216–224.
72.
WongJKWLiHChanG, et al.Virtual prototyping for construction site Co2 emissions and hazard detection. Int J Adv Rob Syst2014; 11: 130.
73.
MargheritaEGBuaI. The role of human resource practices for the development of operator 4.0 in industry 4.0 organisations: a literature review and a research agenda. Businesses [Internet]2021; 1: 18–33.
74.
Yong-SeokJ. A study on the framework of the continuous improvement model of construction process using construction failure information. Korean J Construct Eng Manag2005; 6: 195–204.
75.
HasanzadehSPolysNFde la GarzaJM. Presence, mixed reality, and risk-taking behavior: a study in safety interventions. IEEE Trans Vis Comput Graph2020; 26: 2115–2125.
76.
GürerSSurerEErkayaogluM. MINING-VIRTUAL: A comprehensive virtual reality-based serious game for occupational health and safety training in underground mines. Saf Sci2023; 166: 106226.
77.
PedramSOgieRPalmisanoS, et al.Cost-benefit analysis of virtual reality-based training for emergency rescue workers: a socio-technical systems approach. Virtual Real2021; 25: 1071–1086.
78.
Abu SeloTHussainZHussainQ, et al.Exploring simulation sickness in virtual reality pedestrian scenarios: effects of gender, exposure, and user perceptions. Safety2025; 11: 63.
79.
Golparvar-FardMPeña-MoraFSavareseS. Integrated sequential as-built and as-planned representation with D 4 AR tools in support of decision-making tasks in the AEC/FM industry. J Constr Eng Manag2011; 137: 1099–1116.
80.
ZhouZIrizarryJLiQ. Applying advanced technology to improve safety management in the construction industry: a literature review. Construct Manag Econ2013; 31: 606–622.
