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Investigating In-Situ Personal Health Data Queries on Smartwatches

Published: 11 January 2023 Publication History

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.

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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 6, Issue 4
December 2022
1534 pages
EISSN:2474-9567
DOI:10.1145/3580286
Issue’s Table of Contents
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Published: 11 January 2023
Published in IMWUT Volume 6, Issue 4

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  1. Smartwatch
  2. data exploration
  3. diary study
  4. in-situ
  5. personal health informatics
  6. wearable

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  • (2024)Searching in Professional Instant Messaging Applications: User Behaviour, Intent, and Pain-pointsProceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region10.1145/3673791.3698417(82-91)Online publication date: 8-Dec-2024
  • (2024)Understanding User Preferences of Voice Assistant Answer Structures for Personal Health Data QueriesProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665552(1-15)Online publication date: 8-Jul-2024
  • (2024)Databiting: Lightweight, Transient, and Insight Rich Exploration of Personal DataIEEE Computer Graphics and Applications10.1109/MCG.2024.335388844:2(65-72)Online publication date: 25-Mar-2024
  • (2023)Towards Efficient Interaction for Personal Health Data Queries on SmartwatchesProceedings of the 25th International Conference on Mobile Human-Computer Interaction10.1145/3565066.3608700(1-7)Online publication date: 26-Sep-2023

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