个性化个人健康界面：基于生成式AI的协同设计

中文摘要 AI 辅助

个人健康界面通过标准化仪表盘呈现健康数据，但这些仪表盘很少符合人们解读或据此行动的方式。根据个人需求定制界面通常需要设计和专业技术知识，而生成式AI可能降低这一门槛。因此，我们探究会出现哪些设计，以及生成式AI如何促进和限制设计过程。我们开展了一项协同设计研究，14名参与者使用Figma Make重新设计了Google和Apple健康界面。参与者重新构想了支持个人情境、未来规划和交互式体验的界面，然而基于对话的AI设计却趋同于聊天窗口的惯例。AI帮助将模糊的想法具体化，但模型默认设置和生成延迟影响了迭代过程。该过程在可解释性和问责性方面的实现比隐私、信任和情感安全更容易。生成式协同设计让参与者直接创建界面，模糊了用户意图与模型默认设置之间的界限。我们讨论了保留用户自主权和灵活的用户导向界面的意义。

英文摘要

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.

发表机构

• Drexel University（德雷塞尔大学）
• Indiana University Indianapolis（印第安纳大学印第安纳波利斯分校）
• University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校）

机构由 AI 辅助整理，请以论文原文为准。