发表机构
University of Iowa; TU Wien; University of California Irvine; Chapman University; California State University Los Angeles; University of California Riverside（爱荷华大学; 维也纳工业大学; 加州大学尔湾分校; 查普曼大学; 洛杉矶州立加利福尼亚大学; 加州大学河滨分校）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究通过12个家庭9周的日志和访谈，评估了智能手表、家庭显示器及组合设计在情绪和目标追踪中的效果，发现多设备冗余支持了不同家庭成员的追踪习惯和协作。
AI 中文摘要
虽然普适计算研究已经探索了用于个人健康追踪的各种设备，但我们对家庭信息学中的多设备设计知之甚少，因为健康管理本质上是协作性的。为了了解家庭如何采用和感知跨情境下对共享健康数据的普适访问，我们评估了仅智能手表、仅家庭显示器以及组合设计，用于追踪情绪和目标——这些是家庭健康行为调节的核心领域。来自12个家庭的44人在九周内交替使用这些设计。日志分析显示，与仅使用智能手表相比，当家庭显示器存在时，情绪追踪和目标报告显著更频繁，尽管情绪追踪总体上随时间下降。追踪在下午达到高峰，周末下降，并且在家中的发生频率是其他地方的2.6倍，儿童在所有设计中的追踪比成人更一致。通过访谈分析，我们了解到智能手表上的家庭数据可一瞥性支持了分离时的机会性追踪和意识，而显示器则提醒家庭成员在家居日常中自我追踪和协作，包括那些避免使用可穿戴设备的成员（例如，非参与者）。多设备冗余适应了同一家庭成员在日常生活、移动模式和设备偏好上的多样性。我们讨论了通过包容性、可一瞥式和适应性强的普适数据共享来适应不同偏好的多设备家庭信息学的机会。
英文摘要
While ubiquitous computing research has explored diverse devices for personal health tracking, we know less about multi-device designs for family informatics, where health management is inherently collaborative. To understand how families adopt and perceive ubiquitous access to shared health data across contexts, we evaluated smartwatch-only, home display-only, and combined designs for tracking moods and goals, domains central to family health behavior regulation. 44 people across 12 families alternated between these designs over nine weeks. Log analysis revealed that mood tracking and goal reporting were significantly more frequent with the home display present compared to smartwatch-only use, despite an overall decline in mood tracking over time. Tracking peaked in afternoons, dropped on weekends, and occurred 2.6X more at home, with children tracking more consistently than adults across all designs. From interview analysis, we learned how family data glanceability on smartwatches supported opportunistic tracking and awareness while apart, whereas displays reminded families to self-track and collaborate during home routines including members that avoided wearables (e.g., non-participants). Multi-device redundancy accommodated diversity in routines, mobility patterns, and device preferences among members in the same family. We discuss opportunities for multi-device family informatics that accommodates different preferences through inclusive, glanceable, and adaptable ubiquitous data sharing.
CommentsAccepted with minor revisions for IMWUT 2026
Journal refProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 10(3), 2026
DOI：10.1145/3832000
