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Katz, Dmitri S.; Price, Blaine A.; Holland, Simon and Dalton, Nicholas Sheep
(2018).
DOI: https://doi.org/10.1145/3173574.3174077
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. 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.
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About
- Item ORO ID
- 53364
- Item Type
- Conference or Workshop Item
- Project Funding Details
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Funded Project Name Project ID Funding Body Monetize Me? Privacy and the Quantified Self in the Digital Economy EP/L021285/1 EPSRC (Engineering and Physical Sciences Research Council) STRETCH: Socio-Technical Resilience for Enhancing Targeted Community Healthcare EP/P01013X/1 EPSRC (Engineering and Physical Sciences Research Council) Adaptive Security And Privacy (XC-11-004-BN) 291652 EC (European Commission): FP (inc.Horizon2020 & ERC schemes) Google Scholarship for Students with Disabilities Not Set Google - Keywords
- health; chronic conditions; mHealth; apps; quantified self; personal informatics; Internet of Things; digital health
- Academic Unit or School
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Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Music Computing Lab
- Copyright Holders
- © 2018 The Authors
- Related URLs
- Depositing User
- Dmitri Katz