Abstract

Smartwatches enable not only the continuous collection of but also ubiquitous access to personal health data. However, exploring this data in-situ on a smartwatch is often reserved for singular and generic metrics, without the capacity for further insight. To address our limited knowledge surrounding smartwatch data exploration needs, we collect and characterize desired personal health data queries from smartwatch users. We conducted a week-long study (N=18), providing participants with an application for recording responses that contain their query and current activity related information, throughout their daily lives. From the responses, we curated a dataset of 205 natural language queries. Upon analysis, we highlight a new preemptive and proactive data insight category, an activity-based lens for data exploration, and see the desired use of a smartwatch for data exploration throughout daily life. To aid in future research and the development of smartwatch health applications, we contribute the dataset and discuss implications of our findings.

Team

Publication

For more details about the study, collected dataset, and findings, please refer to the accompanying IMWUT research paper.

Bradley Rey, Bongshin Lee, Eun Kyoung Choe and Pourang Irani. 2022. Investigating In-Situ Personal Health Data Queries on Smartwatches. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6, 4, Article 179 (December 2022), 19 pages. https://doi.org/10.1145/3569481

Dataset

(Link to Google Sheet)

The above table displays 205 queries, along with daily activity and relational information, curated from our in-the-wild user study.

Column descriptions:

• activity: The daily activity a participant was undertaking when a personal health query arose they wished to ask on their smartwatch.
• query: The personal health data query a participant deemed beneficial to ask on their smartwatch.
• relatedToActivity: Whether the query was related to the current activity being performed.
• time: If the query was related to the activity, we further asked at what stage in the activity participant's were. This allowed for further granular understanding of when personal health queries on a smartwatch were deemed important.

Supplementary Material

Below are the tutorial slides used during the beginning of our user study.