Virtual Reality Technology in Individual Self-Compassion Interventions: A Scoping Review.
Saved in:
| Title: | Virtual Reality Technology in Individual Self-Compassion Interventions: A Scoping Review. |
|---|---|
| Authors: | Hua, Musen1 (AUTHOR), Bai, Jinping1 (AUTHOR), Li, Zanteng1 (AUTHOR), Chen, Shuya1 (AUTHOR), Su, Jiacheng1 (AUTHOR), Zhang, Fuyan1 (AUTHOR), Zheng, Bowen1 (AUTHOR), Yang, Li1 (AUTHOR) gyangli@163.com |
| Source: | Inquiry (00469580). 06/24/2026, Vol. 63, p1-16. 16p. |
| Subject Terms: | *Anxiety, *Mental depression, Digital technology, Patient compliance, Medical information storage & retrieval systems, Mental health, Research funding, CINAHL database, Self-compassion, Descriptive statistics, Virtual reality, Systematic reviews, MEDLINE, Medical databases, Online information services, Data analysis software, Patients' attitudes, Psychology information storage & retrieval systems |
| Geographic Terms: | China |
| Abstract: | Introduction: Self-compassion has demonstrated substantial advantages in regulating anxiety and depression across diverse population groups. Nevertheless, conventional methods for augmenting self-compassion are dependent on an individual's imaginative faculties. Virtual reality presents a novel avenue for self-compassion intervention. But these interventions vary considerably in their types, session duration and frequency, and outcome assessment measures. This scoping review integrates evidence regarding the application of virtual reality (VR) in self-compassion interventions, with the aim of providing information and guidance for future clinical implementation. Methods: We conducted a systematic search of ten databases, including PubMed, Web of Science, Embase, PsycINFO, Scopus, the Cochrane Library, CINAHL, CNKI, Wanfang, and VIP. The search period extended from the inception of the databases to November 4, 2025. All the included studies met the eligibility criteria. Results: Sixteen studies were included. Interventions were classified as non-interactive virtual reality (VR) self-compassion interventions and interactive interventions involving virtual scenes or characters. Non-interactive VR has a low usage threshold, making it suitable for most individuals. Scene-based interactive interventions are brief and allow simple interactions, suiting those with short attention spans. Character-based interactive interventions promote deeper emotional engagement but require more complex operations, fitting individuals with marked self-conflict and high cooperation. Although effects varied by intervention type, an overall positive trend was observed. Participants demonstrated good adherence and favorable user experiences; several studies also adopted strategies to enhance adherence. Conclusion: VR-based self-compassion interventions fall into non-interactive and interactive types, each differing in technical features and target populations. Overall, these interventions effectively enhance self-compassion, and participants generally show high acceptance. However, most studies have methodological limitations. Therefore, the conclusions require further validation through high-quality, large-sample randomized controlled trials that also monitor long-term intervention effects. [ABSTRACT FROM AUTHOR] |
| Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: ehh DbLabel: Education Research Complete An: 194843281 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Virtual Reality Technology in Individual Self-Compassion Interventions: A Scoping Review. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Hua%2C+Musen%22">Hua, Musen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bai%2C+Jinping%22">Bai, Jinping</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Zanteng%22">Li, Zanteng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chen%2C+Shuya%22">Chen, Shuya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Su%2C+Jiacheng%22">Su, Jiacheng</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhang%2C+Fuyan%22">Zhang, Fuyan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zheng%2C+Bowen%22">Zheng, Bowen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Li%22">Yang, Li</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> gyangli@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Inquiry+%2800469580%29%22">Inquiry (00469580)</searchLink>. 06/24/2026, Vol. 63, p1-16. 16p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Anxiety%22">Anxiety</searchLink><br />*<searchLink fieldCode="DE" term="%22Mental+depression%22">Mental depression</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+compliance%22">Patient compliance</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mental+health%22">Mental health</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22CINAHL+database%22">CINAHL database</searchLink><br /><searchLink fieldCode="DE" term="%22Self-compassion%22">Self-compassion</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+reality%22">Virtual reality</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+databases%22">Medical databases</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis+software%22">Data analysis software</searchLink><br /><searchLink fieldCode="DE" term="%22Patients'+attitudes%22">Patients' attitudes</searchLink><br /><searchLink fieldCode="DE" term="%22Psychology+information+storage+%26+retrieval+systems%22">Psychology information storage & retrieval systems</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Introduction: Self-compassion has demonstrated substantial advantages in regulating anxiety and depression across diverse population groups. Nevertheless, conventional methods for augmenting self-compassion are dependent on an individual's imaginative faculties. Virtual reality presents a novel avenue for self-compassion intervention. But these interventions vary considerably in their types, session duration and frequency, and outcome assessment measures. This scoping review integrates evidence regarding the application of virtual reality (VR) in self-compassion interventions, with the aim of providing information and guidance for future clinical implementation. Methods: We conducted a systematic search of ten databases, including PubMed, Web of Science, Embase, PsycINFO, Scopus, the Cochrane Library, CINAHL, CNKI, Wanfang, and VIP. The search period extended from the inception of the databases to November 4, 2025. All the included studies met the eligibility criteria. Results: Sixteen studies were included. Interventions were classified as non-interactive virtual reality (VR) self-compassion interventions and interactive interventions involving virtual scenes or characters. Non-interactive VR has a low usage threshold, making it suitable for most individuals. Scene-based interactive interventions are brief and allow simple interactions, suiting those with short attention spans. Character-based interactive interventions promote deeper emotional engagement but require more complex operations, fitting individuals with marked self-conflict and high cooperation. Although effects varied by intervention type, an overall positive trend was observed. Participants demonstrated good adherence and favorable user experiences; several studies also adopted strategies to enhance adherence. Conclusion: VR-based self-compassion interventions fall into non-interactive and interactive types, each differing in technical features and target populations. Overall, these interventions effectively enhance self-compassion, and participants generally show high acceptance. However, most studies have methodological limitations. Therefore, the conclusions require further validation through high-quality, large-sample randomized controlled trials that also monitor long-term intervention effects. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Inquiry (00469580) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=194843281 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/00469580261464010 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Subjects: – SubjectFull: Anxiety Type: general – SubjectFull: Mental depression Type: general – SubjectFull: Digital technology Type: general – SubjectFull: Patient compliance Type: general – SubjectFull: Medical information storage & retrieval systems Type: general – SubjectFull: Mental health Type: general – SubjectFull: Research funding Type: general – SubjectFull: CINAHL database Type: general – SubjectFull: Self-compassion Type: general – SubjectFull: Descriptive statistics Type: general – SubjectFull: Virtual reality Type: general – SubjectFull: Systematic reviews Type: general – SubjectFull: MEDLINE Type: general – SubjectFull: Medical databases Type: general – SubjectFull: Online information services Type: general – SubjectFull: Data analysis software Type: general – SubjectFull: Patients' attitudes Type: general – SubjectFull: Psychology information storage & retrieval systems Type: general – SubjectFull: China Type: general Titles: – TitleFull: Virtual Reality Technology in Individual Self-Compassion Interventions: A Scoping Review. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hua, Musen – PersonEntity: Name: NameFull: Bai, Jinping – PersonEntity: Name: NameFull: Li, Zanteng – PersonEntity: Name: NameFull: Chen, Shuya – PersonEntity: Name: NameFull: Su, Jiacheng – PersonEntity: Name: NameFull: Zhang, Fuyan – PersonEntity: Name: NameFull: Zheng, Bowen – PersonEntity: Name: NameFull: Yang, Li IsPartOfRelationships: – BibEntity: Dates: – D: 24 M: 06 Text: 06/24/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00469580 Numbering: – Type: volume Value: 63 Titles: – TitleFull: Inquiry (00469580) Type: main |
| ResultId | 1 |