Generative AI and Creative Mediums for Youth's Emotion Regulation: An Interview Study with Clinicians
Daeun Yoo, Daniela E. Munoz Lopez, Xiaotian Daisy Hu, Jason C. Yip, Katie Davis
Abstract
Emotion regulation (ER) is essential to youth well-being, and cognitivebehavioral 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.
• Human-centered computing → Empirical studies in HCI.
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