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.

翻译：可穿戴设备产生的个人健康数据通常通过图表和汇总统计的面板呈现，要求用户主动解读其中的模式和含义。我们探索了一种替代性交互范式：通过具身对话智能体与用户对话，促进对个人健康数据进行客观反思。我们构建了一个系统，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。在系统内部，采用双智能体设计：观察者智能体提取描述性统计和时序趋势，呈现者智能体通过"口语化统计"传达这些发现，刻意避免提供临床建议，以隔离交互模态本身的影响。我们通过一项模拟自我的用户研究（N=5）采用被试内设计进行评估。参与者采用源自LifeSnaps数据集的健康角色和目标，比较传统面板探索与具身对话反思的效果。评估聚焦于感知理解度、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、一种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读的早期实证洞见。