Applications of AI and VR in High-Risk Training Simulations: A Bibliometric Review
Source abstract
Abstract
The integration of artificial intelligence (AI) and virtual reality (VR) in high-risk training simulations represents a significant advance in preparing professionals for critical situations. This study presents an exhaustive bibliometric review of the scientific literature published between 2015 and 2025, analyzing the trends, impact, and evolution of these technologies in various high-risk fields. The methodology employed included systematic searches in databases, such as Web of Science and Scopus, using keywords related to AI, VR, and high-risk simulation. Here, 700 articles were analyzed, applying co-citation analysis and scientific mapping techniques. The results reveal an exponential growth in publications on this topic, with an average annual increase of 5.54%. The following main thematic clusters were identified: emergency medicine, aviation, nuclear industry, and disaster response. The co-authorship analysis showed strong international collaboration, with the United States, China, and Germany standing out as leaders in research. This study provides a comprehensive view of the current state of research, identifying the main areas, gaps, and opportunities in the application of AI and VR in high-risk training.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Human-Automation Interaction and Safety · Engineering Education and Technology · Artificial Intelligence in Healthcare and Education
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Technology, Instruction and Design in Engineering and Education Research Group (TiDEE.rg), Catholic University of Ávila, C/Canteros s/n, 05005 Ávila, Spain
Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece
Department of Education, University of Nicosia, Nicosia 2417, Cyprus
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