Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning

Katz, Dimitri, Price, Blaine, Holland, Simon and Dalton, Nick (2018) Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning. In: CHI 2018 - 2018 ACM Conference on Human Factors in Computing Systems, 21st - 26th April 2018, Montreal, Canada.

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Type 1 diabetes is a potentially life-threatening chronic condition that requires frequent interactions with diverse data to inform treatment decisions. While mobile technologies such as blood glucose meters have long been an essential part of this process, designing interfaces that explicitly support decision-making remains challenging. Dual-process models are a common approach to understanding such cognitive tasks. However, evidence from the first of two studies we present suggests that in demanding and complex situations, some individuals approach disease management in distinctive ways that do not seem to fit well within existing models. This finding motivated, and helped frame our second study, a survey (n=192) to investigate these behaviors in more detail. On the basis of the resulting analysis, we posit Fluid Contextual Reasoning to explain how some people with diabetes respond to particular situations, and discuss how an extended framework might help inform the design of user interfaces for diabetes management.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Health; chronic conditions; mHealth; apps; pervasive computing; ubiquitous computing; wearable interaction; quantified self; personal informatics; Internet of Things; digital health
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
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Depositing User: Nick Dalton
Date Deposited: 27 Feb 2018 11:12
Last Modified: 01 Aug 2021 08:33

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