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

Katz, Dmitri S.; Price, Blaine A.; Holland, Simon and Dalton, Nicholas Sheep (2018). Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps. In: CHI 2018: CHI Conference on Human Factors in Computing Systems, 21-26 Apr 2018, Montreal, QC, Canada.

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For those with chronic conditions, such as Type 1 diabetes, smartphone apps offer the promise of an affordable, convenient, and personalized disease management tool. How- ever, 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.

Item Type: Conference or Workshop Item
Copyright Holders: 2018 The Authors
Project Funding Details:
Funded Project NameProject IDFunding Body
Monetize Me? Privacy and the Quantified Self in the Digital EconomyEP/L021285/1EPSRC (Engineering and Physical Sciences Research Council)
STRETCH: Socio-Technical Resilience for Enhancing Targeted Community HealthcareEP/P01013X/1EPSRC (Engineering and Physical Sciences Research Council)
Adaptive Security And Privacy (XC-11-004-BN)291652EC (European Commission): FP (inc.Horizon2020 & ERC schemes)
Google Scholarship for Students with DisabilitiesNot SetGoogle
Keywords: health; chronic conditions; mHealth; apps; quantified self; personal informatics; Internet of Things; digital health
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 53364
Depositing User: Dmitri Katz
Date Deposited: 06 Mar 2018 16:32
Last Modified: 06 Mar 2018 16:34
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