| dc.contributor.author | Brown, Dan | en_US |
| dc.contributor.author | Duce, David | en_US |
| dc.contributor.author | Franklin, Rachel | en_US |
| dc.contributor.author | Harrison, Rachel | en_US |
| dc.contributor.author | Martin, Clare | en_US |
| dc.contributor.author | Waite, Marion | en_US |
| dc.contributor.editor | Katja Bühler and Lars Linsen and Nigel W. John | en_US |
| dc.date.accessioned | 2015-09-14T04:49:10Z | |
| dc.date.available | 2015-09-14T04:49:10Z | |
| dc.date.issued | 2015 | en_US |
| dc.identifier.isbn | 978-3-905674-82-8 | en_US |
| dc.identifier.issn | 2070-5786 | en_US |
| dc.identifier.uri | http://dx.doi.org/10.2312/vcbm.20151226 | en_US |
| dc.description.abstract | The aim of the SWIFT project is to determine which visualisations of blood glucose-related data on mobile devices are most usable by people with insulin-dependent diabetes, to improve self-management. | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.title | SWiFT Seeing the Wood From the Trees: helping people make sense of their health data | en_US |
| dc.description.seriesinformation | Eurographics Workshop on Visual Computing for Biology and Medicine | en_US |
| dc.description.sectionheaders | Posters | en_US |
| dc.identifier.doi | 10.2312/vcbm.20151226 | en_US |
| dc.identifier.pages | 209-209 | en_US |
