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AI Comes Out of the Closet: Using AI-Generated Virtual Characters to Help Individuals Practice LGBTQIA+ Advocacy
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Studies adopting an explicitly affirmative framing measure a partly non-overlapping set of constructs: gender joy and positive gender affirmation; perceived safety, self-confidence, and avatar-based self-expression; and confidence and efficacy in advocacy.
“Studies adopting an explicitly affirmative framing measure a partly non-overlapping set of constructs: gender joy and the positive experience of gender affirmation (Meade et al., 2025); perceived safety, self-confidence, and avatar-based selfexpression (Hasei et al., 2025); confidence and efficacy in advocacy (Pillis et al., 2024).”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Pillis et al., 2024
In an experimental study with 307 participants, the third-person condition significantly improved self-reported confidence, empathy, and sympathy in advocacy scenarios (p = 0.043).
“In an experimental study with 307 participants, the third-person condition significantly improved self-reported confidence, empathy, and sympathy in advocacy scenarios (p = 0.043).”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Pillis et al., 2024
The design principle of treating the conversational agent as a rehearsal environment rather than an advice-giving system aligns closely with the developmental tasks facing LGBTQ+ adolescents.
“The design principle nonetheless remains instructive, in that it treats the conversational agent as a rehearsal environment rather than an advice-giving system, an orientation that aligns closely with the developmental tasks facing LGBTQ+ adolescents.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Pillis et al., 2024
The Pillis et al. (2024) sample was not youth-specific, and the outcomes were self-reported immediately after the intervention rather than behavioral or sustained.
“Two caveats bear on the relevance of this finding here: the sample was not youth-specific, and the outcomes were self-reported immediately after the intervention rather than behavioral or sustained.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Pillis et al., 2024
Pillis et al. (2024) developed the LGBTQIA+ Advocacy Simulator, in which users practice coming-out conversations and advocacy scenarios with AI-generated virtual characters.
“Pillis et al. (2024) developed the LGBTQIA+ Advocacy Simulator, in which users practice coming-out conversations and advocacy scenarios with AI-generated virtual characters.”
From Artificial intelligence and immersive technologies for LGBTQ+ youth: a narrative review (2026) · cites this paper as Pillis et al., 2024
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Cites
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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
- Pillis, D., Pataranutaporn, P., Maes, P., & Sra, M.
- Venue
- Proceedings of the 29th International Conference on Intelligent User Interfaces
- Publisher
- ACM
- Published
- 2024-03-18
- Pages
- 686-698
- Cited by
- 13
- References
- 6
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