From Efficiency to Meaning: Adolescents' Envisioned Role of AI in Health Management
Jamie Lee, Kyuha Jung, Cecilia Lee, Lauren MacDonnell, Jessica Kim, Daniel Otterson, Erin Newman, Emilie Chow, Yunan Chen

TL;DR
This study explores adolescents' perceptions of AI in health management, revealing their envisioned roles and trust considerations, emphasizing the importance of meaningful, autonomy-supporting AI tools for youth health engagement.
Contribution
It introduces novel insights into adolescents' perspectives on health AI, highlighting their envisioned roles and trust issues, which inform future design of meaningful AI health systems for youth.
Findings
Adolescents see AI as enhancing understanding and reducing cognitive load.
They trust AI differently for emotional support, showing divided views.
AI is perceived as a tool for meaningful engagement, not just efficiency.
Abstract
While prior research has focused on providers, caregivers, and adult patients, little is known about adolescents' perceptions of AI in health learning and management. Utilizing design fiction and co-design methods, we conducted seven workshops with 23 adolescents (aged 14-17) to understand how they anticipate using health AI in the context of a family celiac diagnosis. Our findings reveal that adolescents have four main envisioned roles of health AI: enhancing health understanding and help-seeking, reducing cognitive burden, supporting family health management, and providing guidance while respecting their autonomy. We also identified nuanced trust and a divided view on emotional support from health AI. These findings suggest that adolescents perceive AI's value as a tool that moves them from efficiency to meaning-one that creates time for valued activities. We discuss opportunities for…
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Taxonomy
TopicsDigital Mental Health Interventions · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI
