Self-Guided Virtual Reality Therapy for Anxiety: A Systematic Review

Fuente: arXiv
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Hauptverfasser: Graham, Winona, Drinkwater, Russell, Kelson, Joshua, Kabir, Muhammad Ashad
Format: Preprint
Veröffentlicht: 2025
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author Graham, Winona
Drinkwater, Russell
Kelson, Joshua
Kabir, Muhammad Ashad
author_facet Graham, Winona
Drinkwater, Russell
Kelson, Joshua
Kabir, Muhammad Ashad
contents Virtual reality (VR) technology can be used to treat anxiety symptoms and disorders. However, most VR interventions for anxiety have been therapist guided rather than self-guided. This systematic review aimed to examine the effectiveness and user experience (i.e., usability, acceptability, safety, and attrition rates) of self-guided VR therapy interventions in people with any anxiety condition as well as provide future research directions. Peer-reviewed journal articles reporting on self-guided VR interventions for anxiety were sought from the Cochrane Library, IEEE Explore Digital Library, PsycINFO, PubMED, Scopus, and Web of Science databases. Study data from the eligible articles were extracted, tabulated, and addressed with a narrative synthesis. A total of 21 articles met the inclusion criteria. The findings revealed that self-guided VR interventions for anxiety can provide an effective treatment of social anxiety disorder, public speaking anxiety, and specific phobias. User experiences outcomes of safety, usability, and acceptability were generally positive and the average attrition rate was low. However, there was a lack of standardised assessments to measure user experiences. Self-guided VR for anxiety can provide an engaging approach for effectively and safely treating common anxiety conditions. Nevertheless, more experimental studies are required to examine their use in underrepresented anxiety populations, their long-term treatment effects beyond 12 months, and compare their effectiveness against other self-help interventions for anxiety (e.g., internet interventions and bibliotherapy).
format Preprint
id arxiv_https___arxiv_org_abs_2501_17375
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Self-Guided Virtual Reality Therapy for Anxiety: A Systematic Review
Graham, Winona
Drinkwater, Russell
Kelson, Joshua
Kabir, Muhammad Ashad
Human-Computer Interaction
Multimedia
Virtual reality (VR) technology can be used to treat anxiety symptoms and disorders. However, most VR interventions for anxiety have been therapist guided rather than self-guided. This systematic review aimed to examine the effectiveness and user experience (i.e., usability, acceptability, safety, and attrition rates) of self-guided VR therapy interventions in people with any anxiety condition as well as provide future research directions. Peer-reviewed journal articles reporting on self-guided VR interventions for anxiety were sought from the Cochrane Library, IEEE Explore Digital Library, PsycINFO, PubMED, Scopus, and Web of Science databases. Study data from the eligible articles were extracted, tabulated, and addressed with a narrative synthesis. A total of 21 articles met the inclusion criteria. The findings revealed that self-guided VR interventions for anxiety can provide an effective treatment of social anxiety disorder, public speaking anxiety, and specific phobias. User experiences outcomes of safety, usability, and acceptability were generally positive and the average attrition rate was low. However, there was a lack of standardised assessments to measure user experiences. Self-guided VR for anxiety can provide an engaging approach for effectively and safely treating common anxiety conditions. Nevertheless, more experimental studies are required to examine their use in underrepresented anxiety populations, their long-term treatment effects beyond 12 months, and compare their effectiveness against other self-help interventions for anxiety (e.g., internet interventions and bibliotherapy).
title Self-Guided Virtual Reality Therapy for Anxiety: A Systematic Review
topic Human-Computer Interaction
Multimedia
url https://arxiv.org/abs/2501.17375