ArticleFrontiers in psychology2025
Fostering adolescent engagement in generative AI art therapy: a dual SEM-ANN analysis of emotional.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- The benefits and future potential of generative artificial intelligence (GAI) on mental health: a Delphi study.International journal of qualitative studies on health and well-being · 2026Article
- How social influence and innovativeness shape technology perceptions and usage intentions: a TAM extension.BMC psychology · 2026Article
- When AI chatbots understand emotions: exploring the mechanisms of self-disclosure from emotional arousal to psychological acceptance-a hybrid SEM-ANN-NCA analysis across multiple interaction configurations.Frontiers in psychology · 2025Article
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Authors and funding
3 authors.
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Abstract
Introduction: This study explores the application of generative artificial intelligence (AI) art in digital art therapy, focusing on how it influences adolescents' interest-driven participation. With mental health concerns rising among youth, understanding motivational mechanisms in AI-assisted therapeutic tools is both timely and essential. Methods: A cross-sectional survey was conducted with 444 junior and senior high school students in Hubei Province, China. The study integrated Emotional Design Theory and the Technology Acceptance Model (TAM) to construct a predictive model. Structural equation modeling (SEM) and artificial neural network (ANN) analyses were employed to validate the model and identify key predictors of engagement. Results: SEM results indicated that perceived usefulness (PU), perceived ease of use (PEOU), perceived fun (PF), and perceived trust (PT) significantly influenced users' attitudes toward use (ATT) ( Discussion: These findings emphasize the importance of intuitive design, seamless interaction, and trust-building in sustaining adolescents' engagement with AI-based art therapy. The study provides a theoretical foundation for understanding interest formation in youth and offers practical implications for improving emotional design, digital therapeutic tools, and mental health interventions.
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