Designing for Diabetes Decision Support Systems with Fluid Contextual Reasoning
summary
Two studies (qualitative plus a survey n=192) find dual-process models miss a middle mode and propose Fluid Contextual Reasoning: people stack and tweak learned models to produce “good enough” answers quickly. Use of continuous glucose monitoring and CGM arrows correlates with this mode and with more frequent insulin adjustments; smartphone diabetes apps tend to support slower sense‑making and see low daily adoption. Design takeaway: UIs must support three distinct modes, trigger the right mode at the right time, and keep FCR cues low‑cost and easy to act on.
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chapters (13)
- 0:00Intro
- 0:30Diabetes Management
- 1:30Glucose Meters
- 2:08Diabetes Apps
- 2:40Sensemaking
- 4:09Dual Process Theory
- 4:50Qualitative Data
- 5:15Expanding the Model
- 6:28Survey
- 8:00Findings
- 9:14Existing interfaces
- 12:07Design implications
- 13:47Future work
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