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A systematic review of immersive virtual reality for industrial skills training.
- Source :
- Behaviour & Information Technology; Oct 2021, Vol. 40 Issue 12, p1310-1339, 30p, 4 Diagrams, 11 Charts, 10 Graphs
- Publication Year :
- 2021
-
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]
- 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
Subjects
Details
- Language :
- English
- ISSN :
- 0144929X
- Volume :
- 40
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Behaviour & Information Technology
- Publication Type :
- Academic Journal
- Accession number :
- 153045939
- Full Text :
- https://doi.org/10.1080/0144929X.2021.1954693