Acceptability of a Conversational Agent-led Digital Program for Anxiety: A Mixed-Methods Study of User Perspectives.

Background: Prevalence rates for anxiety and depression are increasing globally, outpacing the capacity of traditional mental health services. Digital Mental Health Interventions (DMHIs) offer a cost-effective solution, but user engagement is poor. Integrating AI-powered conversational agents could enhance engagement and the user experience, though AI technology is rapidly evolving, and the acceptability of these solutions remains uncertain.

Artificial intelligence conversational agents in mental health: Patients see potential, but prefer humans in the loop.

Background: Digital mental health interventions, such as artificial intelligence (AI) conversational agents, hold promise for improving access to care by innovating therapy and supporting delivery. However, little research exists on patient perspectives regarding AI conversational agents, which is crucial for their successful implementation. This study aimed to fill the gap by exploring patients' perceptions and acceptability of AI conversational agents in mental healthcare.