Problem
Research questions and friction points this paper is trying to address.
Personal health interfaces
Standardized dashboards
Personalization
Design and technical expertise
Generative AI
Personalizing Personal Health Interfaces: Co-Design with Generative AI
🤖 AI Summary
研究使用生成式AI与14名参与者共同设计个性化健康界面，解决标准化仪表板不符合个人需求的问题，探讨了AI在此过程中的作用和局限。
📝 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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Generative AI
Co-Design
Personalized Health Interfaces
Interpretability
Accountability
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