Visualizing Usage Data from a Diabetes Management System

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dc.contributor.authorDuce, David A.en_US
dc.contributor.authorMartin, Clareen_US
dc.contributor.authorRussell, Alexen_US
dc.contributor.authorBrown, Danen_US
dc.contributor.authorAldea, Arantzaen_US
dc.contributor.authorAlshaigy, Bedouren_US
dc.contributor.authorHarrison, Rachelen_US
dc.contributor.authorWaite, Marionen_US
dc.contributor.authorLeal, Yennyen_US
dc.contributor.authorWos, Marzenaen_US
dc.contributor.authorFernandez-Balsells, Mercèen_US
dc.contributor.authorReal, José Manuel Fernándezen_US
dc.contributor.authorNita, Lucianen_US
dc.contributor.authorLópez, Beatrizen_US
dc.contributor.authorMassana, Joaquimen_US
dc.contributor.authorAvari, Parizaden_US
dc.contributor.authorHerrero, Pauen_US
dc.contributor.authorJugnee, Narvadaen_US
dc.contributor.authorOliver, Nicken_US
dc.contributor.authorReddy, Monikaen_US
dc.contributor.editorRitsos, Panagiotis D. and Xu, Kaien_US
dc.date.accessioned2020-09-10T06:27:40Z
dc.date.available2020-09-10T06:27:40Z
dc.date.issued2020
dc.description.abstractThis article explores the role for visualization in interpreting data collected by a customised analytics framework within a healthcare technology project. It draws on the work of the EU-funded PEPPER project, which has created a personalised decision-support system for people with type 1 diabetes. Our approach was an exercise in exploratory visualization, as described by Bergeron's three category taxonomy. The charts revealed different patterns of interaction, including variability in insulin dosing schedule, and potential causes of rejected advice. These insights into user behaviour are of especial value to this field, as they may help clinicians and developers understand some of the obstacles that hinder the uptake of diabetes technology.en_US
dc.description.sectionheadersVisualisation and Machine Learning
dc.description.seriesinformationComputer Graphics and Visual Computing (CGVC)
dc.identifier.doi10.2312/cgvc.20201144
dc.identifier.isbn978-3-03868-122-9
dc.identifier.pages1-9
dc.identifier.urihttps://doi.org/10.2312/cgvc.20201144
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cgvc20201144
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman centered computing
dc.subjectInformation visualization
dc.subjectApplied computing
dc.subjectHealth informatics
dc.titleVisualizing Usage Data from a Diabetes Management Systemen_US
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Computer Graphics & Visual Computing (CGVC) 2020