From Efficiency to Meaning: Adolescents'Envisioned Role of AI in Health Management

📅 2026-02-27
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🤖 AI Summary
This study addresses the limited understanding of how adolescents conceptualize the role of artificial intelligence (AI) in health-related learning and management. Focusing on youth aged 14 to 17 within the context of familial celiac disease diagnosis, the research employed design fiction and co-design methods across seven qualitative workshops. Findings reveal a shift in adolescents’ perception of AI—from a mere efficiency tool toward a medium for meaning-making and collaborative sensemaking. The study proposes a novel perspective wherein AI should support adolescent autonomy, reflective capacity, and family-based health collaboration. Four distinct AI roles emerged: facilitating health comprehension and help-seeking intentions, alleviating cognitive load, aiding family health management, and offering guidance that respects user autonomy. Notably, participants expressed ambivalent attitudes toward AI-provided emotional support.

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📝 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 future health AI systems to be designed to encourage adolescent autonomy and reflection, while also supporting meaningful, dialectical activities.
Problem

Research questions and friction points this paper is trying to address.

adolescents
AI in health management
health learning
perceptions of AI
family health
Innovation

Methods, ideas, or system contributions that make the work stand out.

adolescent health
design fiction
co-design
health AI
autonomy
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