Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning
- Submitting institution
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The Open University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 1587493
- Type
- E - Conference contribution
- DOI
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10.1145/3173574.3174199
- Title of conference / published proceedings
- CHI 2018: Conference on Human Factors in Computing Systems
- First page
- 0
- Volume
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- Issue
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- 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
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- 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
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Diabetes is a prevalent chronic health condition which demands that afflicted individuals make frequent self-care decisions based on complex factors. This paper presented at the top-rated HCI conference CHI2018 (acceptance rate 25.7%) and awarded an honourable mention (top 5% of submissions), presented a new model to describe the diabetes self-management decision making process. This cognitive model departs from the dominant dual-process model, and offers a framework for both evaluating the fitness for purpose of existing diabetes self-management devices as well as suggesting how new medical device interfaces and functionalities could better support patient needs.
- Author contribution statement
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- Non-English
- No
- English abstract
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