Academic Journal

Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study

التفاصيل البيبلوغرافية
العنوان: Attitudes Toward the Adoption of 2 Artificial Intelligence–Enabled Mental Health Tools Among Prospective Psychotherapists: Cross-sectional Study
المؤلفون: Anne-Kathrin Kleine, Eesha Kokje, Eva Lermer, Susanne Gaube
المصدر: JMIR Human Factors, Vol 10, p e46859 (2023)
بيانات النشر: JMIR Publications, 2023.
سنة النشر: 2023
المجموعة: LCC:Medical technology
مصطلحات موضوعية: Medical technology, R855-855.5
الوصف: BackgroundDespite growing efforts to develop user-friendly artificial intelligence (AI) applications for clinical care, their adoption remains limited because of the barriers at individual, organizational, and system levels. There is limited research on the intention to use AI systems in mental health care. ObjectiveThis study aimed to address this gap by examining the predictors of psychology students’ and early practitioners’ intention to use 2 specific AI-enabled mental health tools based on the Unified Theory of Acceptance and Use of Technology. MethodsThis cross-sectional study included 206 psychology students and psychotherapists in training to examine the predictors of their intention to use 2 AI-enabled mental health care tools. The first tool provides feedback to the psychotherapist on their adherence to motivational interviewing techniques. The second tool uses patient voice samples to derive mood scores that the therapists may use for treatment decisions. Participants were presented with graphic depictions of the tools’ functioning mechanisms before measuring the variables of the extended Unified Theory of Acceptance and Use of Technology. In total, 2 structural equation models (1 for each tool) were specified, which included direct and mediated paths for predicting tool use intentions. ResultsPerceived usefulness and social influence had a positive effect on the intention to use the feedback tool (P
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2292-9495
Relation: https://humanfactors.jmir.org/2023/1/e46859; https://doaj.org/toc/2292-9495
DOI: 10.2196/46859
URL الوصول: https://doaj.org/article/49932146cbb34b33a057418f64c431b8
رقم الانضمام: edsdoj.49932146cbb34b33a057418f64c431b8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:22929495
DOI:10.2196/46859