Cited by 215Virtual Reality Applications and ImpactsAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesDigital Mental Health Interventions

The DOI matches its Crossref record; 87 of the 88 references it cites were found in a registry or an index; none of the 24 sources its claims cite is checked for support yet.

A Meta-Analysis on the Relationship between Self-Reported Presence and Anxiety in Virtual Reality Exposure Therapy for Anxiety Disorders

Open access

Abstract

In virtual reality exposure therapy (VRET) for anxiety disorders, sense of presence in the virtual environment is considered the principal mechanism that enables anxiety to be felt. Existing studies on the relation between sense of presence and level of anxiety, however, have yielded mixed results on the correlation between the two. In this meta-analysis, we reviewed publications on VRET for anxiety that included self-reported presence and anxiety. The comprehensive search of the literature identified 33 publications with a total of 1196 participants. The correlation between self-reported sense of presence and anxiety was extracted and meta-analyzed. Potential moderators such as technology characteristics, sample characteristics including age, gender and clinical status, disorder characteristics and study design characteristics such as measurements were also examined. The random effects analysis showed a medium effect size for the correlation between sense of presence and anxiety (r = .28; 95% CI: 0.18-0.38). Moderation analyses revealed that the effect size of the correlation differed across different anxiety disorders, with a large effect size for fear of animals (r = .50; 95% CI: 0.30-0.66) and a no to small effect size for social anxiety disorder (r = .001; 95% CI: -0.19-0.19). Further, the correlation between anxiety and presence was stronger in studies with participants who met criteria for an anxiety disorder than in studies with a non-clinical population. Trackers with six degrees of freedom and displays with a larger field of view resulted in higher effect sizes, compared to trackers with three degrees of freedom and displays with a smaller field of view. In addition, no difference in effect size was found for the type of presence measurement and the type of anxiety measurement. This meta-analysis confirms the positive relation between sense of presence and anxiety and demonstrates that this relation can be affected by various moderating factors.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This meta-analysis of 33 publications with 52 correlations and 1,196 participants found a medium positive association between self-reported presence and anxiety in virtual reality exposure therapy (r = .28; 95% CI: 0.18–0.38). The relation varied by anxiety disorder, clinical status, tracker degrees of freedom, and display field of view.

Key findings

  • The random-effects weighted mean correlation between self-reported presence and anxiety was r = .28, 95% CI [0.18–0.38], p < .001; excluding the OCD study, it was r = .29, 95% CI [0.19–0.39], p < .001.
  • Disorder type significantly moderated the correlation (Q₆ = 17.28, p = .008): fear of animals r = .50 [0.30–0.66], fear of flying r = .52 [0.16–0.75], acrophobia r = .39 [0.22–0.54], and social phobia r = .001 [−0.19–0.19].
  • Clinical samples showed a higher correlation than non-clinical samples: r = .42 [0.25–0.57] vs. r = .22 [0.10–0.34], with the moderator approaching significance (Q₁ = 3.47, p = .06); excluding OCD, the difference was significant (clinical r = .47 [0.29–0.61] vs. non-clinical r = .22 [0.10–0.34], Q₁ = 5.15, p = .02).
  • Technology moderated the relation: 6 DoF trackers r = .46 [0.30–0.60] vs. 3 DoF trackers r = .23 [0.09–0.36] (Q₁ = 4.81, p = .03), and large FOV displays (>94°) r = .51 [0.28–0.68] vs. small FOV displays (<71°) r = .24 [0.13–0.35] (Q₁ = 4.10, p = .04); presence and anxiety measurement types did not significantly moderate the effect.

Methods

  • Systematic literature search in PsycINFO, PubMed, Web of Knowledge, and Scopus through March 19, 2013, plus reference and conference screening; inclusion required human participants in VR/AR for anxiety disorder treatment, self-reported presence and anxiety, and peer-reviewed journal or conference publication.
  • The analysis included 33 articles, 52 correlations, and 1,196 participants; the correlation between self-reported presence and anxiety served as the effect size, converted to Fisher’s z, with random-effects meta-analysis, subgroup analyses for categorical moderators, and REML meta-regressions for continuous moderators using Comprehensive Meta-analysis Version 3.
  • Moderators examined included anxiety disorder type, age, gender, clinical status, technology characteristics (display, stereoscopy, resolution, FOV, audio, tracker DoF/update frequency), measurement type, sample size, and publication year; publication bias was assessed with Fail-safe N, funnel plot, and Egger’s test.

Limitations

  • The paper states that presence and anxiety were self-reported and therefore prone to demand characteristics, and that very few studies covered OCD, claustrophobia, and fear of flying, so caution is needed when generalizing to underrepresented disorders.
  • The paper notes that the meta-analysis was based on correlations and could not model the shape of the presence–anxiety relationship, which may not be linear.
  • Evident from the text: no PTSD studies were included because authors could not provide correlations; although the search included spatial, social, and co-presence, included publications only reported spatial presence; and the publication-year effect may have been confounded with anxiety disorder type.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0096144

Cites

87 of 87 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

0 of 24 cited sources checked · 0 supported · 0 flagged

Show all 61 claims

  • It may state two separate claims as one. 16
  • The quote only partly states this claim. 1
  • Probably not a substantial claim. 16
30 of 30
  • The paper relies on this without support.

    There are no published quantitative syntheses on the relationship between presence and anxiety.

    “To our knowledge, there are no published quantitative syntheses on the relationship between presence and anxiety.”
  • The authors state this as an assumption.

    Presence was stable during participants' exposure to the virtual environment.

    “As earlier studies [27], [47] found no order effect on presence during one session, we assumed that presence was stable during participants' exposure to the virtual environment.”
  • The authors state this as an assumption.

    A common among-study variance component across the subgroups.

    “We pooled within-group estimates of tau-squared, assuming a common among-study variance component across the subgroups [51].”
  • The authors state this as an assumption.

    The effect size of all current or future unpublished studies is equal to zero.

    “A conservative method of addressing this problem is to assume that the effect size of all current or future unpublished studies is equal to zero and to compute the number of such studies it would require to reduce the overall effect size to a non-significant level (α = .05, two-tailed).”
  • The paper relies on this without support.

    The relationship between presence and anxiety is linear enough that a correlation coefficient is a meaningful summary of their association.

    “Our current meta-analysis study, however, was based on correlations between presence and anxiety, where the shape of the relationship between presence and anxiety could not be modeled.”
  • The paper relies on this without support.

    The self-reported presence measures used in the included studies validly capture the sense of presence relevant to anxiety in VRET.

    “First, the measurements of presence and anxiety used in this study were self-reported which is prone to well-known demand characteristics.”
6 of 6

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?

Statistics recomputed

Every reported test result, recomputed from its test statistic and degrees of freedom. A result shows as not adding up only once an independent check has confirmed it.

  • Consistentt(50) = 3.5reported p = .001 · recomputed p < .001

    “t(50) = 3.50, p = .001”

1 of 1

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Publication-year regression has conflicting p-values

    Minor

    The text reports p = .051 for the publication-year model, whereas Table 7 gives p = .0051 for its regression coefficient. These values imply different conclusions about statistical significance.

  • Tracker categories exceed the number reported as using trackers

    Minor

    Table 4 reports 27 correlations for 3-DoF trackers and 16 for 6-DoF trackers, totaling 43, but reports only 42 correlations as using a tracker.

    Reported 42 · recomputed 43

2 of 2

Citations

Cites

Flagged first, then by citations

1 of the 88 references couldn’t be matched to a known paper.

Research works printed but not linked: 6

  1. Schuemie MJ, Bruynzeel M, Drost L, Brinckman M, de Haan G, <etal>et al</etal>.. (2000) Treatment of acrophobia in virtual reality: A pilot study. In: Brockx F, Pauwels L, editors; Antwerp, Belgium. pp. 271–275.
  2. S Côté, 2008, Virtual reality exposure for phobias: A critical review, Journal of Cyber Therapy and Rehabilitation, 1, 75
  3. H Ewald, 2009, Fear conditioning in immersive virtual reality, Psychophysiology, 46, S128
  4. M-R Laframboise, 2006, Relation between anxiety and feeling of presence during virtual reality immersion, CyberPsychology & Behavior, 9, 689
  5. Spielberger CD, Krasner SS (1988) The assessment of trait and state anxiety. In: Burrows G, Noyes R, Roth M, editors. Handbook of anixety. Amsterdam: Elsevier Science. pp. 31–51.
  6. S Bouchard, 2011, Exploring new dimensions in the assessment of virtual reality induced side effects, Journal of computer and information technology, 1, 20

Cited by

Sorted by citations

See all 215

Metadata

Authors
Ling, Y., Nefs, H. T., Morina, N., Heynderickx, I., & Brinkman, W.-P.
Affiliations
  • Delft University of Technology (NL)
  • Philips (Netherlands) (NL)
Corresponding author
  • Ling, Yun
  • Nefs, Harold T.
  • Heynderickx, Ingrid
  • Brinkman, Willem-Paul
Venue
PLoS ONE
Published
2014-05-06
Volume
9
Issue
5
Pages
e96144
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2164854045
Cited by
215
References
88
Citations by year
2026: 22 · 2025: 24 · 2024: 15 · 2023: 16 · 2022: 20 · 2021: 24 · 2020: 27 · 2019: 19 · 2018: 14 · 2017: 13 · 2016: 8 · 2015: 10 · 2014: 3
FWCI
2.98
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • UvA-DARE (University of Amsterdam) (acceptedVersion, other-oa)
  • TU/e Research Portal (submittedVersion, other-oa)
  • TU/e Research Portal (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
  • Research Repository (Delft University of Technology) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
Funders
Nederlandse Organisatie voor Wetenschappelijk Onderzoek (655.010.207)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
Keywords
virtual reality exposure therapy, presence, anxiety, anxiety disorders, social anxiety disorder, animal phobia, field of view
MeSH terms
Anxiety Disorders, Humans, Self Report, Virtual Reality Exposure Therapy

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.

A language model drew the claims from the paper on 2026-10-10, under version 3 of the claim definition (model deepseek-v4.1-flash, prompt extract-v3).

A second model labelled each claim on 2026-10-10 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).

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