Using Generative AI to Co-Design Digital Mental Health Interventions With Adolescents in Rural South Africa: Qualitative Thematic Analysis of Participatory Workshops
GenAI shows promise for enhancing adolescent engagement in the coproduction of DMHIs and enabling culturally relevant and personalized content. However, reliance on human support and persistent algorithmic biases remain limitations. Further research should explore the integration of therapeutic principles into AI-generated media and strategies to mitigate bias.
Authors
- Alastair van Heerden (ORCID: https://orcid.org/0000-0003-2530-6885)
- Julia R Pozuelo (ORCID: https://orcid.org/0000-0002-3058-0371)
- Princess Makhubela (ORCID: https://orcid.org/0009-0008-5660-7529)
- Bianca Moffett (ORCID: https://orcid.org/0000-0002-8887-1374)
- Heather O’Mahen (ORCID: https://orcid.org/0000-0003-3458-430X)
- Sophie Dallison (ORCID: https://orcid.org/0000-0002-8264-9588)
- Tamera Nkuna
Institutions
- Harvard University (US)
- University of the Witwatersrand (ZA)
- University of Exeter (GB)
- University of Oxford (GB)
- Agincourt Health and Socio-Demographic Surveillance System (ZA)
- Harvard Global Health Institute (US)
- University of Bath (GB)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-10-20
- DOI
- https://doi.org/10.2196/73535
- Primary Topic
- Digital Mental Health Interventions
- Type
- article
- Field-Weighted Citation Impact
- 0.00