Cited by 253Virtual Reality Applications and ImpactsSimulation and Modeling ApplicationsAugmented Reality Applications

A review of the evidence for training effectiveness with virtual reality technology

Abich, Julian, Parker, Jason, Murphy, Jennifer S., Eudy, Morgan·2021·Virtual Reality

Integrity signals

Registry

Crossref · 10.1007/s10055-020-00498-8

Cites

40 of 40 references verified0 citation errors · 0 not checkable

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Cites

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1 of the 41 references couldn’t be matched to a known paper.

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Authors
Abich, J., Parker, J., Murphy, J. S., & Eudy, M.
Corresponding author
Abich, Julian
Venue
Virtual Reality
Published
2021-01-08
Volume
25
Issue
4
Pages
919-933
ISSN
  • 1359-4338 (ISSN-L)
  • 1434-9957
OpenAlex
W3119286888
Cited by
253
References
41
Citations by year
2026: 38 · 2025: 80 · 2024: 60 · 2023: 39 · 2022: 30 · 2021: 5 · 2019: 1
FWCI
20.55
Type
journal article
Language
en
Open access
closed
Locations
Virtual Reality (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Physical Sciences › Engineering › Control and Systems Engineering › Simulation and Modeling Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
Keywords
virtual reality training, training effectiveness, knowledge, skills and abilities, psychomotor performance, knowledge acquisition, spatial ability, training outcomes

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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