The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
“I was Truly Able to Express the Image of Myself that I have within”: Exploring VR Group Therapy Approaches with the LGBTQIA+ Community
Abstract
Members of the LGBTQIA+ community are more likely to face mental health challenges. However, stigma and the fear of being outed often prevent them from seeking professional support. To address this, we collaborated with mental health professionals and LGBTQIA+ communities in Japan to develop a multi-user Virtual Reality (VR) platform that facilitates access to group therapy sessions. The system allows users to participate using personalized avatars and customized voices, preserving anonymity while enabling them to present themselves as they wish. We conducted a user study with 21 LGBTQIA+ participants and two qualified counselors to evaluate their experiences with VR-based therapy. Findings revealed that the created avatars enabled participants to express their chosen gender identity and increase confidence, acting as protective intermediaries. However, participants also noted how anonymity could affect trust, and suggested that better representation of body language and the introduction of trust-building activities could help compensate for such ambivalence. Overall, the platform fostered a strong sense of co-presence, and both counselors and LGBTQIA+ members felt that, with some ergonomic adjustment to improve the comfort of the headset during longer sessions, VR platforms could offer substantial opportunities for safe and representative access to mental health services.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
The same anonymity made it harder to read others in the group and to trust that they were presenting themselves honestly.
“The same anonymity, however, made it harder to read others in the group and to trust that they were presenting themselves honestly.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Skierś et al. (2025)
Skierś et al. (2025) found that customized avatars and adjustable voices allowed participants to present their gender as they wished, and several said the avatar gave them the confidence to speak; for transgender participants, voice mattered as much as appearance.
“Customized avatars and adjustable voices allowed participants to present their gender as they wished, and several said the avatar gave them the confidence to speak; for transgender participants, voice mattered as much as appearance.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Skierś et al. (2025)
In a VR group therapy study, adults reported that anonymity made it easier to speak but harder to trust others in the group.
“Adults in a VR group therapy study added a caution: anonymity made it easier to speak but harder to trust others in the group (Skierś et al., 2025).”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Skierś et al., 2025
Citations
Cites
Hall, W., Ruiz Rosado, B., & Chapman, M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8070949 · Cited by 32 · cited 1×
“While research on preferred therapy formats for LGBTQIA+ individuals in Japan is limited, studies elsewhere highlight the effectiveness of group therapy in addressing shared experiences of marginal-ization and identity struggles [28,43].”
Arnfred, B. T., Bang, P., Winther Davy, J., Larsen, L. Q., Hjorthøj, C., & Christensen, A. B. (2021) · Translational Issues in Psychological Science · doi:10.1037/tps0000291 · Cited by 16 · cited 1×
“…Exposure Therapy (VRET), designed to gradually expose patients to anxiety-provoking stimuli within a controlled and safe virtual environment [3]; VR-based Cognitive Behavioral Therapy (VR-CBT), which utilizes immersive VR scenarios to facilitate cognitive restructuring and behavioural…”
Flagged first, then by citations
Research works printed but not linked: 67
- 10.1145/3411763.3451673 · DOI · Paper page
- 10.1145/3474362 · DOI
- 10.1145/3411764.3445091 · DOI
- 10.1177/1948550619887785 · DOI
- 10.1080/09540261.2024.2327388 · DOI
- 10.5455/JCBPR.61718 · DOI
- 10.1109/vr.2019.8798165 · DOI
- 10.1007/978-3-030-99194-4_13 · DOI
- 10.1177/14614448211061830 · DOI
- 10.1191/1478088706qp0630a · DOI
- Carlson, 2020, lgbtq+., 40, 8
- 10.1145/3517428.3550378 · DOI
- 10.1109/ISMAR-Adjunct64951.2024.00065 · DOI
- 10.1145/3410404.3414236 · DOI
- 10.2307/jj.26193189 · DOI
- 10.3389/frvir.2020.609545 · DOI
- 10.1080/10714421.2023.2254171 · DOI
- 10.18420/muc2019-ws-633 · DOI
- 10.1111/camh.12326 · DOI
- Fotache, 2020, Japanese ‘lgbt boom’ discourse and its discontents
- 10.1145/3555153 · DOI
- 10.1145/3432938 · DOI
- 10.1145/3491102.3502082 · DOI
- 10.1145/3025453.3025647 · DOI
- 10.1145/2556288.2557077 · DOI
- 10.1145/3686972 · DOI
- 10.1145/3301019.3323894 · DOI
- 10.1093/geroni/igad104.1053 · DOI
- 10.1515/ijamh-2015-0113 · DOI
- Kawaguchi, 1997, Gei sutadizu [gay studies]
- 10.1176/appi.ps.201500209 · DOI
- King, 2020, Lgbtq+ rights and protections: Do existing theories explain japan’s limited legislation?
- 10.1109/ISMAR59233.2023.00082 · DOI
- 10.1109/ISMAR-Adjunct64951.2024.00162 · DOI
- 10.1109/ISMAR-Adjunct57072.2022.00189 · DOI
- 10.4324/9781315665641-7 · DOI
- 10.1145/3242671.3242683 · DOI
- 10.1145/3544548.3581530 · DOI
- 10.1145/3613904.3642482 · DOI
- 10.1145/3383652.3423876 · DOI
- 10.53841/bpssex.2015.6.1.99 · DOI
- Otani, 2024, Medical care needs and experiences of lgbtq populations in japan, medRxiv, 2024
- Paré, 2022, Extending “othered” bodies into learning environments: Queer reorientations, virtual reality, and learning about gender and sexuality, 543
- 10.1007/978-3-030-29489-2_17 · DOI · Paper page
- 10.1145/3679318.3685380 · DOI
- 10.1007/978-3-031-70061-3_32 · DOI
- 10.1080/07448481.2024.2317173 · DOI
- 10.1007/978-3-031-34411-4_26 · DOI
- 10.1111/jpm.12720 · DOI · Paper page
- 10.1109/TITB.2002.802370 · DOI
- Romero, 2023, Queering space: LGBTQ* gaming as a form of resistance and community development
- 10.1089/lgbt.2020.0266 · DOI
- 10.1163/9789004401716_012 · DOI
- 10.1080/09540261.2022.2075256 · DOI
- Staniukynas, 2020, “Impact Of Virtual Reality On The Expression Of Gender Identity”
- 10.1108/EDI-05-2023-0151 · DOI
- 10.1080/1550428X.2017.1338172 · DOI
- 10.4324/9781003289968-2 · DOI
- 10.4324/9781003289968-2 · DOI
- 10.1145/3613904.3642494 · DOI
- 10.1080/02681102.2023.2233475 · DOI
- 10.1109/ISMAR50242.2020.00071 · DOI
- 10.1109/ISMAR-Adjunct60411.2023.00075 · DOI
- 10.1145/1978942.1979054 · DOI
- 10.1136/bmjopen-2021-057573 · DOI
- 10.1145/3517428.3544829 · DOI · Paper page
- 10.1080/19361653.2019.1684415 · DOI
Cited by
Sorted by citations
Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review
Shekarchi, R., Eleuteri, S., Saladino, V., Calaresi, D., Giordano, F., & Prunas, A. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.2002054
Metadata
- Authors
- Skierś, K., Peng, D., Kundu, A., Person, T., Takase, K., Nagoshi, T., Nakayama, S., Yuichiro, Y., Miyazaki, T., Minamizawa, K., & Barbareschi, G.
- Affiliations
- Keio University, Graduate School of Media Design, Japan
- Yokohama City University, Japan
- Ideal Japan Inc, Japan
- Shiga University, Japan
- Research Center Trustworthy Data Science and Security, University of Duisburg-Essen, Germany
- ORCID
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2025-11
- Volume
- 31
- Issue
- 11
- Pages
- 9688-9698
- ISSN
- 1077-2626
- 1941-0506
- 2160-9306
- Cited by
- 5
- References
- 2
- Licence
- Funders
- JST Moonshot R&D Program “Cybernetic being” Project (JPMJMS2013)
- JST COI-NEXT “Minds1020Lab” Project (JPMJPF2203)
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