Data, Data Everywhere, and Still Too Hard to Link: Insights from User Interactions with Diabetes Apps
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1587491
- Type
- E - Conference contribution
- DOI
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10.1145/3173574.3174077
- Title of conference / published proceedings
- CHI 2018: CHI Conference on Human Factors in Computing Systems
- First page
- 0
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- April
- Year of publication
- 2018
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
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-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presented the first systematic, well-evidenced account of diabetes design problems and challenges. Tong and Sopory (2019) applied insights from this paper to cancer apps, Niess et al (2020) to avoiding demotivation, Cerna et al (2020) to new patient-doctor collaborations, and Zhang et al (2019) to cognitive load management. Work led to 3 sponsored workshops designing new diabetes technologies (Senior Design Manager, Roche Diagnostics, details on request). Attendees (68) included patient activists, designers, developers, and representatives of the NHS, Microsoft Research, Roche, Diabetes UK, and medical startups. Insights gained by designers could save lives and enhance healthcare system transformation.
- Author contribution statement
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- Non-English
- No
- English abstract
- -
