Katz, Dmitri; Dalton, Nick; Holland, Simon; O'Kane, Aisling and Price, Blaine A.
(2016).
|
PDF (Accepted Manuscript)
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (1MB) | Preview |
| Google Scholar: | Look up in Google Scholar |
|---|
Abstract
Hundreds of diabetes self-management apps are available for smart phones, typically using a diary or logging methodology. This paper investigates how well such approaches help participants to make sense of collected data. We found that, while such systems typically support data and trend review, they are ill suited to helping users understand complex correlations in the data. The cognitively demanding user interfaces (UI’s) of these apps are poorly adapted both to the restricted real estate of smartphone displays and to the daily needs of users. Many participants expressed the desire for intelligent, personalized and contextually aware near-term advice. By contrast, users did not see tools for reflection on prior data and behavior, seen as indispensable by many researchers, as a priority. We argue that while designers of future mobile health (mHealth) systems need to take advantage of automation through connected sensors, and the increasing subtlety of intelligent processing, it is also necessary to evolve current graphs and dashboards UI paradigms to assist users in long-term self-management health practices.
| Item Type: | Conference or Workshop Item | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Project Funding Details: |
|
|||||||||
| Keywords: | User interface (UI); diabetes apps; mHealth | |||||||||
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications Faculty of Science, Technology, Engineering and Mathematics (STEM) |
|||||||||
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) Health and Wellbeing PRA (Priority Research Area) Centre for Policing Research and Learning (CPRL) International Centre for Comparative Criminological Research (ICCCR) |
|||||||||
| Item ID: | 46314 | |||||||||
| Depositing User: | Blaine Price | |||||||||
| Date Deposited: | 13 May 2016 10:20 | |||||||||
| Last Modified: | 16 Aug 2017 14:09 | |||||||||
| URI: | http://oro.open.ac.uk/id/eprint/46314 | |||||||||
| Share this page: |     |
Download history for this item
These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.
CORE (COnnecting REpositories)
CORE (COnnecting REpositories)