Databiting : enabling lightweight, transient, and in-situ exploration of personal fitness data on smartwatches
department or school: Science, Irving K. Barber Faculty of (Okanagan)
department or school: Computer Science, Mathematics, Physics and Statistics, Department of (Okanagan)
data provider: DSpace
degree campus: UBCO
creator: Rey, Bradley
issued: 2024-12-05T23:22:12Z
issued: 2024
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: Smartwatches have become increasingly popular for health and fitness tracking. Worn on the body, and equipped with powerful sensors, smartwatches enable comprehensive and ubiquitous health data collection. Exploring this collected data on the smartwatch is, however, less comprehensive and is largely unrealized. The small screen size and many daily scenarios of use are often considered challenges which limit exploratory capability. Yet, the immediate availability of the smartwatch remains to offer potential for actionable and in-situ insights derived from the collected data. This thesis introduces databiting, a novel concept for lightweight and transient data exploration that supports in-situ exploration on the smartwatch. Databiting bridges the gap between currently offered glanceable data visualizations, and more extensive data analysis available on other devices. Before realizing databiting, we conducted an empirical study with 18 individuals to better understand their smartwatch data exploration needs. We captured and analyzed 205 personal health data queries to understand where, when, and why these queries were desired. This analysis combined qualitative insights with quantitative metrics, uncovering patterns that can inform the design and implementation of databiting on the smartwatch. We further identified key dimensions of these queries, such as interrogatives, data sources, aggregations, and filtering mechanisms, which provide a foundation for enhancing natural language processing capabilities. We then examined preferences of voice assistant responses to personal health data queries, as an additional output modality to visualization. Insights were gathered on perceived quality, behavior, comprehensibility, and efficiency to a variety of answer structures, providing guidelines to support databiting through an effective output modality during cognitively loaded tasks, such as during a workout. Using these findings, we then developed DataWatch, a novel smartwat…
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/89795
note: Databiting: Enabling Lightweight,Transient, and In-Situ Exploration ofPersonal Fitness Data on SmartwatchesbyBradley ReyB.Sc., The University of Manitoba 2020A DISSERTATION SUBMITTED IN PARTIAL FULFILLMENT OFTHE REQUIREMENTS FOR THE DEGREE OFDOCTOR OF PHILOSOPHYinThe College of Graduate Studies(Computer Science)THE UNIVERSITY OF BRITISH COLUMBIA(Okanagan)December 2024© Bradley Rey, 2024The following individuals certify that they have read, and recommend to theCollege of Graduate Studies for acceptance, the dissertation entitled:DATABITING: ENABLING LIGHTWEIGHT, TRANSIENT, AND IN-SITU EX-PLORATION OF PERSONAL FITNESS DATA ON SMARTWATCHESsubmitted by BRADLEY REY in partial fulfilment of the requirements of the degreeof Doctor of PhilosophyPourang Irani, Irving K. Barber Faculty of Science, UBC OkanaganSupervisorKaron MacLean, Computer Science, UBC VancouverSupervisory Committee MemberRamon Lawrence, Irving K. Barber Faculty of Science, UBC OkanaganSupervisory Committee MemberMegan Smith, Creative and Critical Studies, UBC OkanaganUniversity ExaminerPetra Isenberg, INRIAExternal ExamineriiAbstractSmartwatches have become increasingly popular for health and fitness track-ing. Worn on the body, and equipped with powerful sensors, smartwatches enablecomprehensive and ubiquitous health data collection. Exploring this collected dataon the smartwatch is, however, less comprehensive and is largely unrealized. Thesmall screen size and many daily scenarios of use are often considered challengeswhich limit exploratory capability. Yet, the immediate availability of the smart-watch remains to offer potential for actionable and in-situ insights derived fromthe collected data. As such, this dissertation introduces databiting, a novel conceptfor lightweight and transient data exploration that supports in-situ exploration.Before realizing databiting, we conducted an empirical study with 18 individu-als to better understand their smartwatch data exploration needs. We captured andanalyz…
has type: Thesis/Dissertation
date issued: 2025-02
is shown at: 10.14288/1.0447411
language: eng
degree discipline: Computer Science
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Irani, Pourang
type: Text
identifier URI: http://hdl.handle.net/2429/89795