Preprint
Personalizing Personal Health Interfaces: Co-Design with Generative AI
arXiv (Cornell University)
14 Sep 2026
Abstract
Personal health interfaces present wellbeing data through standardized dashboards that rarely fit how people interpret or act on it. Personalizing them to what people would like to see for themselves often requires design and technical expertise, a barrier that generative AI may potentially lower. Therefore, we ask what designs emerge and how it enables and constrains the design process. We conducted a co-design study where 14 participants redesigned Google and Apple Health interfaces using Figma Make. Participants reimagined interfaces that supported personal context, future planning, and interactive experiences, yet conversational AI designs converged around chat-window conventions. AI helped materialize loosely articulated ideas, but model defaults and generation latency shaped iteration. The process more readily operationalized interpretability and accountability than privacy, trust, and emotional safety. Generative co-design let participants create interfaces directly, blurring the boundary between intentions and model defaults. We discuss implications for preserving agency and flexible user-directed interfaces.
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Details
- Title
- Personalizing Personal Health Interfaces: Co-Design with Generative AI
- Creators
- Karthik S Bhat - Drexel UniversityVidhi Shah - Drexel UniversityVedika Agnihotri - Drexel UniversityDong Whi Yoo - Indiana UniversityKoustuv Saha - University of Illinois at Urbana Champaign
- Publication Details
- arXiv (Cornell University)
- Resource Type
- Preprint
- Language
- English
- Academic Unit
- Information Science; Digital Media; Antoinette Westphal College of Media Arts and Design
- Other Identifier
- 991022207108304721