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

ABSTRACT:

Background

The prevalence of anxiety and depression is increasing globally, outpacing the capacity of traditional mental health services. Digital mental health interventions (DMHIs) provide a cost-effective alternative, but user engagement remains limited. Integrating artificial intelligence (AI)-powered conversational agents may enhance engagement and improve the user experience; however, with AI technology rapidly evolving, the acceptability of these solutions remains uncertain.

Objective

This study aims to examine the acceptability, engagement, and usability of a conversational agent-led DMHI with human support for generalized anxiety by exploring patient expectations and experiences through a mixed methods approach.

Methods

Participants (N=299) were offered a DMHI

SUBMITTER: Papiernik P 

PROVIDER: S-EPMC12627969 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature