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

Katz, Dmitri, Price, Blaine, Holland, Simon and Dalton, Nick (2018) Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps. In: CHI '18 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, p. 503. ISBN 978-1-4503-5620-6

Preview

Text (Full text) pn4071_UI_Katz.pdf - Accepted Version Download (1MB) | Preview

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.

Actions (login required)

View Item

Downloads