1. A systematic review of immersive virtual reality for industrial skills training.
- Author
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Radhakrishnan, Unnikrishnan, Koumaditis, Konstantinos, and Chinello, Francesco
- Subjects
BIOSENSORS ,ONLINE education ,DATABASES ,USER-centered system design ,INDUSTRIAL safety ,LEARNING theories in education ,PROBLEM solving ,ANALYSIS of variance ,MANUFACTURING industries ,VIRTUAL reality ,SYSTEMATIC reviews ,MATHEMATICAL models ,USER interfaces ,SOCIAL constructionism ,BLUE collar workers ,PSYCHOLOGY of movement ,COGNITION ,ABILITY ,TRAINING ,CONCEPTUAL structures ,T-test (Statistics) ,SURVEYS ,PSYCHOSOCIAL factors ,EDUCATIONAL technology ,THEORY ,DECISION making ,DESCRIPTIVE statistics ,QUESTIONNAIRES ,EMPLOYEES' workload ,DATA analysis software ,MOTOR ability ,GREY literature - Abstract
Virtual reality (VR) training offers the capability to industrial workers to acquire skills and address complex tasks by immersing them in a safe and controlled virtual environment. Immersive VR (IVR) training is adopted in many diverse settings, yet little systematic work currently exists on how researchers have applied it for industrial skills training and if it holds the potential to be applied remotely. In this review, 78 representative studies were analysed to answer three key questions: Is IVR an effective training method for industrial skills training? How is research in this field applied? And how can we make IVR training more effective and applicable for remote training? We can testify that IVR is a promising training method with high effectiveness scores. However, our analysis has uncovered several gaps in the application of IVR training, like the lack of learning theories in the design process and limited metrics beyond time and scores. Additionally, our review also exposed unexplored but intriguing avenues of research, like the utilisation of biosensors for users' data collection, haptics that increases realism and applications with remote training potential. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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