Exploring Indian Youth’s Use of AI Chatbots for Mental Health Support: A Qualitative Study

Abstract

Indian youth face many barriers to conventional mental health care, such as limited services, cost, stigma and geographic gaps. This situation has coincided with the rapid adoption of AI chatbots for mental health care. This study explored why digitally connected Indian youth choose chatbot-based mental health support, what sustains or ends such engagement, and how chatbot use fits broader help-seeking behaviour. This study used a qualitative research design with a semi-structured interview approach. 20 participants, aged 18-25 years, who had used AI mediated mental health support for at least once in the past six months were recruited using purposive sampling. Using Braun and Clarke’s (2006) six-phase approach with COREQ-guided reporting, data were analyzed with reflexive thematic analysis. Analysis yielded seven themes: (1) safe, non-judgmental sanctuary; (2) practical accessibility; (3) reduced stigma and anonymity; (4) autonomy and self-directed care; (5) instrumental help; (6) enjoyment and curiosity; and (7) limitations and safety concerns. Participants described chatbots as low-threshold, immediately available supports and useful first steps toward help, yet they identified risks that limit suitability for complex or high-risk needs. The findings suggest chatbots are valuable supplements for mental health care in Indian contexts if they are culturally adapted, privacy-protected, and integrated into stepped care with clear escalation pathways to human services.

Ähnliche Arbeiten