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

Fuente: arXiv
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Autores principales: Lee, Jamie, Jung, Kyuha, Lee, Cecilia, MacDonnell, Lauren, Kim, Jessica, Otterson, Daniel, Newman, Erin, Chow, Emilie, Chen, Yunan
Formato: Preprint
Publicado: 2026
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author Lee, Jamie
Jung, Kyuha
Lee, Cecilia
MacDonnell, Lauren
Kim, Jessica
Otterson, Daniel
Newman, Erin
Chow, Emilie
Chen, Yunan
author_facet Lee, Jamie
Jung, Kyuha
Lee, Cecilia
MacDonnell, Lauren
Kim, Jessica
Otterson, Daniel
Newman, Erin
Chow, Emilie
Chen, Yunan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2602_24249
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle From Efficiency to Meaning: Adolescents' Envisioned Role of AI in Health Management
Lee, Jamie
Jung, Kyuha
Lee, Cecilia
MacDonnell, Lauren
Kim, Jessica
Otterson, Daniel
Newman, Erin
Chow, Emilie
Chen, Yunan
Human-Computer Interaction
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.
title From Efficiency to Meaning: Adolescents' Envisioned Role of AI in Health Management
topic Human-Computer Interaction
url https://arxiv.org/abs/2602.24249