Cited by 52Stroke Rehabilitation and RecoveryVirtual Reality Applications and ImpactsMotor Control and Adaptation

Motor learning and virtual reality

Levac, Danielle E., Sveistrup, Heidi·2014·Virtual reality technologies for health and clinical applications

Integrity signals

Registry

Crossref · 10.1007/978-1-4939-0968-1_3

Cites

92 of 92 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

2 of the 94 references couldn’t be matched to a known paper.

Cited by

Sorted by citations

Authors
Levac, D. E., & Sveistrup, H.
Affiliations
University of Ottawa (CA)
Corresponding author
Levac, Danielle E.
Venue
Virtual reality technologies for health and clinical applications
Published
2014
Pages
25-46
ISSN
  • 2199-4684 (ISSN-L)
  • 2199-4692
OpenAlex
W126406131
Cited by
52
References
94
Citations by year
2026: 4 · 2025: 5 · 2024: 5 · 2023: 6 · 2022: 8 · 2021: 6 · 2020: 1 · 2019: 6 · 2018: 3 · 2017: 3 · 2016: 1 · 2015: 4
FWCI
6.16
Type
book chapter
Language
en
Open access
closed
Locations
Virtual reality technologies for health and clinical applications (publishedVersion)
Topics
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords
motor learning, virtual reality therapy, augmented feedback, motivation, observational learning, practice, motor skill transfer, rehabilitation

About these checks

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.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review