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

Authors:

Dmitri S. Katz,

Blaine A. Price,

Nicholas Sheep DaltonAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 503, Pages 1 - 12

https://doi.org/10.1145/3173574.3174077

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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Index Terms

Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps
1. Human-centered computing

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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

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

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Published: 21 April 2018

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CHI '18: CHI Conference on Human Factors in Computing Systems

April 21 - 26, 2018

Montreal QC, Canada

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CHI '18 Paper Acceptance Rate 666 of 2,590 submissions, 26%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Lubasinski NThabit HNutter PHarper S(2024)What Is the Tech Missing? Nutrition Reporting in Type 1 DiabetesNutrients10.3390/nu1611169016:11(1690)Online publication date: 29-May-2024
https://doi.org/10.3390/nu16111690
Tunis RFleischmann KSmith A(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
https://dl.acm.org/doi/10.1145/3643834.3661622
Su ZKamath STirakitsoontorn PChen Y(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
https://dl.acm.org/doi/10.1145/3641021
Lakhdhir S(2024)Creating Positive Social Experiences Through the Design of Custom WearablesExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3638190(1-7)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3638190
Lakhdhir SNayar CAnderson FFournier HHolsti LKondratova IPerin CSomanath S(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
https://dl.acm.org/doi/10.1145/3613904.3642435
Barth CBernard JHuang E(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
https://dl.acm.org/doi/10.1145/3613904.3642234
Sefidgar YCastillo CChopra SJiang LJones TMittal ARyu HSchroeder JCole AMurinova NMunson SFogarty J(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
https://dl.acm.org/doi/10.1145/3613904.3642075
Lu BCui YBelsare PStanger CZhou XPrioleau T(2024)Mealtime prediction using wearable insulin pump data to support diabetes managementScientific Reports10.1038/s41598-024-71630-w14:1Online publication date: 9-Sep-2024
https://doi.org/10.1038/s41598-024-71630-w
Baumann MWeinberger NMaia MSchmid K(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
https://doi.org/10.1177/20552076231163996
Kabir KWiese J(2023)A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics SystemsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108937:3(1-35)Online publication date: 27-Sep-2023
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