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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Original languageEnglish
Title of host publicationCHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
PublisherACM
ISBN (Electronic)978-1-4503-5620-6
DOIs
Publication statusPublished - 21 Apr 2018
Event2018 ACM Conference on Human Factors in Computing Systems - Palais des Congrès de Montréal, Montréal, Canada
Duration: 21 Apr 201826 Apr 2018
https://chi2018.acm.org/

Conference

Conference2018 ACM Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2018
CountryCanada
CityMontréal
Period21/04/1826/04/18
Internet address
Publication type

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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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