2 citations · 4 across the 8 of their papers we have counts for
3 papers · 1 filter
Engagement Phenotypes for a Sample of 102,684 AI Mental Health Chatbot Users and Dose-Response Associations with Clinical Outcomes
Emma C. Wolfe, Ting Su, Olivier Tieleman +3
Background: Conversational AI chatbots are emerging as scalable mental health tools, but little is known about real world engagement or its relationship to clinical outcomes. Objec…
Functional outcomes and naturalistic engagement with a purpose-built conversational AI for mental health (Ash)
Kristen M. Van Swearingen, Thomas D. Hull, Karthik V. Sarma +1
Background: Conversational AI chatbots designed for mental health may offer an accessible, scalable avenue for supporting psychological well-being, yet prior evaluations have large…
Talking to a Human as an Attitudinal Barrier: A Mixed Methods Evaluation of Stigma, Access, and the Appeal of AI Mental Health Support
Caitlin A. Stamatis, Emma C. Wolfe, Matteo Malgaroli +1
Background: Many people who could benefit from therapy do not receive it. Conversational AI is increasingly used for mental health support, yet it is unclear which barriers AI help…