与你的数据对话：探索具身对话作为个人健康反思的界面
Talking to Your Data: Exploring Embodied Conversation as an Interface for Personal Health Reflection
AI总结：
提出一种通过具身对话代理与可穿戴健康数据交互的新范式，采用双代理设计（观察者提取统计特征，呈现者以“口语化统计”沟通），通过模拟自我用户研究（N=5）与传统仪表盘对比，评估感知理解、行动具体性和认知转变。
摘要：
来自可穿戴设备的个人健康数据通常通过图表和统计摘要的仪表盘呈现，要求用户主动解读模式和含义。我们探索了一种替代交互范式：通过一个具身对话代理与个人健康数据进行互动，该代理在与用户的对话中促进客观的数据反思。我们提出了一个系统，它将可穿戴数据的轻量级预处理与基于Unity的具身角色相结合。在内部，系统遵循双代理设计，其中观察者代理提取描述性统计和时间趋势，呈现者代理通过“口语化统计”传达这些发现，有意避免临床建议，以隔离交互模态的影响。我们通过一个模拟自我用户研究（N=5）采用被试内设计评估了这种方法。参与者采用来自LifeSnaps数据集的健康角色和目标，比较了传统仪表盘探索与具身对话反思。我们的评估侧重于感知理解、生成行动的具体性，以及从被动观看到主动意义建构的认知转变。本文贡献了一个功能原型、一个客观健康数据叙事生成的设计模式，以及关于具身性如何影响个人健康指标解释的早期实证见解。
英文摘要：
Personal health data from wearables are typically presented through dashboards of charts and summary statistics, requiring users to actively interpret patterns and implications. We explore an alternative interaction paradigm: engaging with personal health data through an embodied conversational agent that facilitates objective data reflection in dialogue with the user. We present a system that combines lightweight preprocessing of wearable data with a Unity-based embodied character. Internally, the system follows a dual-agent design in which an Observer agent extracts descriptive statistics and temporal trends, and a Presenter agent communicates these findings through "spoken statistics," intentionally refraining from clinical advice to isolate the impact of the interaction modality. We evaluate this approach through a simulated-self user study (N=5) using a within-subject design. Participants adopted health personas and goals derived from the LifeSnaps dataset to compare traditional dashboard exploration with embodied conversational reflection. Our evaluation focuses on perceived understanding, the specificity of generated actions, and the cognitive shift from passive viewing to active sensemaking. The paper contributes a functional prototype, a design pattern for objective health data narrative generation, and early empirical insights into how embodiment affects the interpretation of personal health metrics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
