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Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps

Published: 21 April 2018 Publication History

Abstract

For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. However, despite significant academic research and commercial development in this area, diabetes apps still show low adoption rates and underwhelming clinical outcomes. Through user-interaction sessions with 16 people with Type 1 diabetes, we provide evidence that commonly used interfaces for diabetes self-management apps, while providing certain benefits, can fail to explicitly address the cognitive and emotional requirements of users. From analysis of these sessions with eight such user interface designs, we report on user requirements, as well as interface benefits, limitations, and then discuss the implications of these findings. Finally, with the goal of improving these apps, we identify 3 questions for designers, and review for each in turn: current shortcomings, relevant approaches, exposed challenges, and potential solutions.

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    cover image ACM Conferences
    CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
    April 2018
    8489 pages
    ISBN:9781450356206
    DOI:10.1145/3173574
    This work is licensed under a Creative Commons Attribution International 4.0 License.

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    Published: 21 April 2018

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    Author Tags

    1. apps
    2. chronic conditions
    3. digital health
    4. health
    5. internet of things
    6. mhealth
    7. personal informatics
    8. quantified self

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    Cited By

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    • (2024)What Is the Tech Missing? Nutrition Reporting in Type 1 DiabetesNutrients10.3390/nu1611169016:11(1690)Online publication date: 29-May-2024
    • (2024)Limitations of Using Mobile Phones for Managing Type 1 Diabetes (T1D) Among Youth in Low and Middle-Income Countries: Implications for mHealthProceedings of the ACM on Human-Computer Interaction10.1145/36870458:CSCW2(1-19)Online publication date: 8-Nov-2024
    • (2024)Designing for Personalization in Personal Informatics: Barriers and Pragmatic Approaches from the Perspectives of Designers, Developers, and Product ManagersProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661622(584-596)Online publication date: 1-Jul-2024
    • (2024)The Hidden Burden: Encountering and Managing (Unintended) Stigma in Children with Serious IllnessesProceedings of the ACM on Human-Computer Interaction10.1145/36410218:CSCW1(1-35)Online publication date: 26-Apr-2024
    • (2024)Creating Positive Social Experiences Through the Design of Custom WearablesExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3638190(1-7)Online publication date: 11-May-2024
    • (2024)GlucoMaker: Enabling Collaborative Customization of Glucose MonitorsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642435(1-21)Online publication date: 11-May-2024
    • (2024)"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642234(1-21)Online publication date: 11-May-2024
    • (2024)MigraineTracker: Examining Patient Experiences with Goal-Directed Self-Tracking for a Chronic Health ConditionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642075(1-19)Online publication date: 11-May-2024
    • (2024)Mealtime prediction using wearable insulin pump data to support diabetes managementScientific Reports10.1038/s41598-024-71630-w14:1Online publication date: 9-Sep-2024
    • (2023)User types, psycho-social effects and societal trends related to the use of consumer health technologiesDIGITAL HEALTH10.1177/205520762311639969(205520762311639)Online publication date: 2-Apr-2023
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