Copy the page URI to the clipboard
Katz, Dmitri S.; Price, Blaine A.; Holland, Simon and Dalton, Nicholas Sheep
(2018).
DOI: https://doi.org/10.1145/3173574.3174199
Abstract
Type 1 diabetes is a potentially life-threatening chronic condition that requires frequent interactions with diverse data to inform treatment decisions. While mobile technolo- gies such as blood glucose meters have long been an essen- tial part of this process, designing interfaces that explicitly support decision-making remains challenging. Dual-process models are a common approach to understanding such cog- nitive tasks. However, evidence from the first of two stud- ies 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.
Viewing alternatives
Download history
Metrics
Public Attention
Altmetrics from AltmetricNumber of Citations
Citations from DimensionsItem Actions
Export
About
- Item ORO ID
- 53363
- Item Type
- Conference or Workshop Item
- ISBN
- 1-4503-5620-6, 978-1-4503-5620-6
- Project Funding Details
-
Funded Project Name Project ID Funding Body STRETCH: Socio-Technical Resilience for Enhancing Targeted Community Healthcare EP/P01013X/1 EPSRC (Engineering and Physical Sciences Research Council) Monetize Me? Privacy and the Quantified Self in the Digital Economy EP/L021285/1 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; pervasive computing; ubiquitous computing; wearable interaction; quantified self; personal informatics; Internet of Things; digital health
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
-
Centre for Research in Computing (CRC)
Music Computing Lab - Copyright Holders
- © 2018 The Authors
- Related URLs
- Depositing User
- Dmitri Katz