Generative AI and Creative Mediums for Youth’s Emotion Regulation: An Interview Study with Clinicians

要旨

Emotion regulation (ER) is essential to youth well-being, and cognitive-behavioral therapy (CBT) is an established approach for building ER skills. Clinicians often use creative mediums such as visuals and narratives to support ER through CBT, yet access and personalization remain limited. Generative AI (GenAI) shows promise for addressing these limitations, but its benefits and risks in youth ER remain underexplored, underscoring the need for expert perspectives. We interviewed 20 ER specialists--psychotherapists, art therapists, and psychiatrists--using a GenAI technological probe that generated CBT-based visuals and narratives. Clinicians highlighted GenAI’s potential as a “bridge” to help youth concretely identify and express emotions, practice personalized coping skills, and mediate ER conversations between home and clinics. They also cautioned that the vividness and unpredictability of GenAI outputs may trigger trauma or reinforce maladaptive thinking. We propose psychologically grounded design implications for GenAI to foster safe, engaging youth ER as a foundation for lifelong well-being.

著者
Daeun Yoo
University of Washington, Seattle, Washington, United States
Daniela E. Munoz Lopez
University of Washington, Seattle, Washington, United States
Xiaotian Daisy Hu
University of Washington, Albany, Oregon, United States
Jason Yip
University of Washington, Seattle, Washington, United States
Katie Davis
University of Washington, Seattle, Washington, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: AI for Youth Learning

P1 - Room 129
7 件の発表
2026-04-17 18:00:00
2026-04-17 19:30:00