filename : Wam26c.pdf entry : inproceedings conference : Joint Proceedings of the ACM IUI 2026 Workshops (HealthIUI 2026), co-located with the 31st ACM Conference on Intelligent User Interfaces (IUI 2026), Paphos, Cyprus, July 13-16 pages : year : 2026 month : March title : Talking to Your Data: Exploring Embodied Conversation as an Interface for Personal Health Reflection subtitle : author : Nikola Kovacevic, Bastien Husler, Di Zhuang, Rafael Wampfler, Barbara Solenthaler booktitle : Joint Proceedings of the ACM IUI 2026 Workshops ISSN/ISBN : editor : publisher : CEUR-WS.org publ.place : Paphos, Cyprus volume : issue : language : English keywords : embodied conversational agents, large language models, data sensemaking, shared-view interaction, personal health informatics abstract : 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.