Abstract AI-powered mental health tools are increasingly deployed to support users across multiple sessions, yet the field lacks a principled framework for how memory in these systems should be structured and applied. In most current implementations, memory functions primarily as a personalization mechanism, optimizing...
Courtney C. Jewell, K. McAlister, Tara Deliberto et al.· JMIR AI· 0 citations
Abstract Background Digital mental health interventions using conversational AI agents are increasingly being adopted as scalable alternatives to traditional care. Engagement is typically measured using volume-based metrics (eg, session counts and total time on a platform). However, these metrics overlook engagement pa...
K. McAlister, Courtney C. Jewell, Jennifer L. Huberty· JMIR Mental Health· 0 citations
Anxiety and depression are prevalent mental health disorders, but traditional treatments often have limited effectiveness. Process-Based Therapy (PBT), which targets the underlying mechanisms driving these conditions, offers a promising alternative. The purpose of this retrospective study was to examine how processes o...
Lara M. Baez, K. McAlister, Chris Pleman et al.· BMC Psychology· 0 citations
Abstract Background AI-powered digital mental health interventions (DMHIs) are a promising approach to address barriers to traditional mental health care. However, real-world evidence of their immediate and sustained benefits remains limited. Objective The purpose of this real-world, retrospective study is to explore p...
K. McAlister, Courtney C. Jewell, Chad Stecher et al.· JMIR mHealth and uHealth· 1 citation
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