The Effects of Virtual Reality, Augmented Reality, and Mixed Reality as Training Enhancement Methods: A Meta-Analysis

University of Central Florida · SA Technologies (United States) · +1 more institution

PubMed
Indexed incrossrefpubmed

Abstract

Objective

The objective of this meta-analysis is to explore the presently available, empirical findings on transfer of training from virtual (VR), augmented (AR), and mixed reality (MR) and determine whether such extended reality (XR)-based training is as effective as traditional training methods.

Background

MR, VR, and AR have already been used as training tools in a variety of domains. However, the question of whether or not these manipulations are effective for training has not been quantitatively and conclusively answered. Evidence shows that, while extended realities can often be time-saving and cost-saving training mechanisms, their efficacy as training tools has been debated. METHOD: The current body of literature was examined and all qualifying articles pertaining to transfer of training from MR, VR, and AR were included in the meta-analysis. Effect sizes were calculated to determine the effects that XR-based factors, trainee-based factors, and task-based factors had on performance measures after XR-based training.

Citation impact

537
total citations
FWCI
34.75
Percentile
100%
References
45
Citations per year

Authors

6

Topics & keywords

Keywords
  • Virtual reality
  • Augmented reality
  • Training (meteorology)
  • Task (project management)
  • Variety (cybernetics)
  • Computer science
  • Meta-analysis
  • Transfer of training
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