Digital Safe Haven”: Exploring Conversational AI as an Emotionally Supportive Conversational Space for Rural Adolescent Girls in Sichuan, China
Published 2026-06-11
Keywords
- Conversational AI,
- Menstrual stigma,
- Rural education,
- Psychological safety,
- Affective engagement
- Adolescent girls,
- Qualitative exploratory study ...More
How to Cite
Abstract
Background; Conventional sexuality education in rural China is constrained by institutional and cultural barriers, and adolescent girls lack psychologically safe spaces to engage with menstrual health information.
Objective; This qualitative exploratory pilot study questions whether conversational AI can act as an emotionally safe, anonymous, non‑judgmental environment, a “Digital Safe Haven,” for rural adolescent girls.
Method; Semi‑structured interviews and AI interaction sessions with 18 junior‑high school girls aged 12–15 in Rong County, Sichuan Province. Purposive sampling with principal nomination; recruitment ceasing at thematic saturation. Reflexive thematic analysis employed for analysis of data.
Results; The girls in our study felt shame in relation to menstruation and actively hid it. When interacting with AI, most found affective barriers lessened and self‑disclosure easier, but negative responses (robotic answers, distrust, perfect preference for human support) were also accounted for.
Conclusion; We cautiously suggest conversational AI may be a “Digital Safe Haven” for some girls, and propose a three‑pillar interpretive lens (Psychological Safety, Online Disinhibition, Affective Engagement) as a spade contextual lens for the time being. Our contribution is less about theorizing everything anew as it is about extending established concepts into an underexplored socio-cultural and educational context.
References
- Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE.
- Chandra Mouli, V., & Patel, S. V. (2017). Mapping the knowledge and understanding of menarche, menstrual hygiene and menstrual health among adolescent girls in low- and middle-income countries. Reproductive Health, 14(1), 30. https://doi.org/10.1186/s12978-017-0293-6
- Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383. https://doi.org/10.2307/2666999
- Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017). Delivering cognitive behavior therapy to young adults with symptoms of depression and anxiety using a fully automated conversational agent (Woebot): A randomized controlled trial. JMIR Mental Health, 4(2), e19. https://doi.org/10.2196/mental.7785
- Gabarron, E., Dechsling, A., Skafle, I., & Nordahl-Hansen, A. (2021). “But can chatbots understand sex?” Attitudes towards artificial intelligence chatbots amongst sexual and reproductive health professionals: An exploratory mixed methods study. Internet Interventions, 26, 100473. https://doi.org/10.1016/j.invent.2021.100473
- Gérard, A., et al. (2024). Use of automated conversational agents in improving young population mental health: A scoping review. npj Digital Medicine, 7, Article 82. https://doi.org/10.1038/s41746-024-01088-4
- Haberland, N., & Rogow, D. (2015). Sexuality education: Emerging trends in evidence and practice. Journal of Adolescent Health, 56(1), S15-S21. https://doi.org/10.1016/j.jadohealth.2014.08.013
- Illeris, K. (Ed.). (2018). Contemporary theories of learning: Learning theorists... in their own words (2nd ed.). Routledge. https://doi.org/10.4324/9781315147277
- Johnston Robledo, I., & Chrisler, J. C. (2013). The menstrual mark: Menstruation as social stigma. Sex Roles, 68(1-2), 9-18. https://doi.org/10.1007/s11199-011-0052-z
- Kasinger, C., et al. (2024). Entanglements of technologies, agency and selfhood: Exploring the complexity in attitudes toward mental health chatbots. Culture, Medicine, and Psychiatry. Advance online publication. https://doi.org/10.1007/s11013-024-09876-8
- Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., … & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274
- Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., … & Coiera, E. (2018). Conversational agents in healthcare: A systematic review. Journal of the American Medical Informatics Association, 25(9), 1248-1258. https://doi.org/10.1093/jamia/ocy072
- Li, S., Huang, H., Cai, Y., Ye, X., Shen, X., Shi, R., & Xu, G. (2020). Status and factors of menstrual knowledge among adolescent girls in China: A school based cross sectional study. Journal of Pediatric and Adolescent Gynecology, 33(5), 456-462. https://doi.org/10.1016/j.jpag.2020.02.005
- Mason, L., Nyothach, E., Alexander, K., Odhiambo, F. O., Eleveld, A., Vulule, J., … & Phillips-Howard, P. A. (2013). ‘We keep it secret so no one should know’ - A qualitative study to explore young schoolgirls attitudes and experiences with menstruation in rural Western Kenya. PLoS ONE, 8(11), e79132. https://doi.org/10.1371/journal.pone.0079132
- McMahon, S. A., Winch, P. J., Caruso, B. A., Obure, A. F., Ogutu, E. A., Ochari, I. A., & Rheingans, R. D. (2011). ‘The girl with her period is the one to hang her head’ - Reflections on menstrual management among schoolgirls in rural Kenya. BMC International Health and Human Rights, 11(1), 7. https://doi.org/10.1186/1472-698X-11-7
- Pekrun, R. (2014). Emotions and learning (Educational Practices Series No. 24). International Academy of Education, UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000227471
- Schooler, D., Ward, L. M., Merriwether, A., & Caruthers, A. S. (2005). Cycles of shame: Menstrual shame, body shame, and sexual decision making. The Journal of Sex Research, 42(4), 324-334. https://doi.org/10.1080/00224490509552288
- Selwyn, N. (2019). Should robots replace teachers? AI and the future of education. Polity Press. (No DOI - book)
- Suler, J. (2004). The online disinhibition effect. Cyber Psychology & Behavior, 7(3), 321-326. https://doi.org/10.1089/1094931041291295
- Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Agyemang, B. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x
- Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. Basic Books.
- UNESCO. (2018). International technical guidance on sexuality education: An evidence-informed approach. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000260770
- UNICEF. (2021). Policy guidance on AI for children (2nd ed.). UNICEF Office of Global Insight and Policy. https://www.unicef.org/globalinsight/reports/policy-guidance-ai-children
- Zawacki Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education - where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
- Zhang, L., & Dasgupta, S. D. (2021). Gendered silence and menstrual taboo in rural Chinese schools: An ethnographic study. Gender and Education, 33(5), 590-606. https://doi.org/10.1080/09540253.2020.1763922