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Design and Formative Evaluation of a Virtual Voice-Based Coach for Problem-solving Treatment: Observational Study
Thomas Kannampallil1, Corina R Ronneberg2, Nancy E Wittels2
1Washington University School of Medicine, St. Louis, MO, United States.
JMIR Formative Research
|August 15, 2022
Summary
This study evaluated Lumen, a voice-based AI coach for depression and anxiety, finding it accessible and usable. Improvements focused on pacing and personalization for better mental health care delivery.
Area of Science:
- Artificial Intelligence in Medicine
- Digital Health Interventions
- Mental Healthcare Technology
Background:
- Personal voice assistants offer new avenues for medical practice and behavioral counseling.
- Voice-based applications for behavioral therapy have not been previously evaluated.
- Artificial intelligence (AI) presents opportunities for enhancing patient interaction with technology in healthcare.
Purpose of the Study:
- To conduct a formative user evaluation of Lumen, a virtual voice-based coach.
- To assess Lumen's effectiveness as an Alexa skill for delivering problem-solving treatment.
- To evaluate Lumen for patients with mild to moderate depression and/or anxiety.
Main Methods:
- 26 participants completed two therapy sessions with Lumen (introductory and problem-solving).
- User experience, task workload, and work alliance were assessed via surveys and semistructured interviews.
- Inductive thematic analysis of interview transcripts characterized user perspectives on Lumen.
Main Results:
- Participants reported high usability and favorable user experience with Lumen, with marginal task load.
- A higher temporal workload was noted during the problem-solving session, indicating a feeling of being rushed.
- Key themes included Lumen's on-demand accessibility, simplified treatment structure, and suggestions for improved personalization and pacing.
Conclusions:
- Lumen demonstrated cognitively plausible interactions for behavioral therapy delivery.
- Design suggestions for Lumen included reducing temporal/cognitive load, enhancing conversational naturalness, and improving privacy/security.
- Lumen shows potential for accessible, personalized mental healthcare, addressing gaps in traditional services.
Keywords:
artificial intelligencebehavioral therapymental healthproblem-solving therapyuser evaluationvoice assistantsMore Related Videos
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