Five distinct engagement phenotypes emerged from large-scale chatbot data, with a dose-response link to depression improvement that held in both self-report and model-predicted outcomes.
Generative AI Purpose-built for Social and Mental Health: A Real-World Pilot
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Shame/stigma and access barriers to therapy predict higher perceived helpfulness of AI mental health support, especially for therapy-experienced users, while access and cost barriers predict greater usage intensity.
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Engagement Phenotypes for a Sample of 102,684 AI Mental Health Chatbot Users and Dose-Response Associations with Clinical Outcomes
Five distinct engagement phenotypes emerged from large-scale chatbot data, with a dose-response link to depression improvement that held in both self-report and model-predicted outcomes.
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Talking to a Human as an Attitudinal Barrier: A Mixed Methods Evaluation of Stigma, Access, and the Appeal of AI Mental Health Support
Shame/stigma and access barriers to therapy predict higher perceived helpfulness of AI mental health support, especially for therapy-experienced users, while access and cost barriers predict greater usage intensity.