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Title:
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USING INFORMATION VISUALIZATION TO SUPPORT THE SELF-MANAGEMENT OF TYPE 2 DIABETES MELLITUS |
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Author(s):
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Janet Wesson and Meggan Naude |
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ISBN:
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978-989-8704-41-2 |
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Editors:
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Katherine Blashki |
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Year:
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2022 |
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Edition:
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Single |
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Keywords:
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Diabetes Mellitus, Information Visualization, Self-Management, Usability Evaluation |
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Type:
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Full Paper |
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First Page:
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107 |
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Last Page:
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114 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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The increasing number of individuals suffering from Type 2 Diabetes Mellitus highlights the need for an effective tool for users to understand the relationship between their behaviors and the effect that those behaviors have on their blood glucose levels (BGLs). There are few Information Visualization tools available that can be used to reduce the cognition required to understand correlations between behavior and BGLs. Existing tools provide simple visualizations that do not show correlations. Suitable Information Visualization techniques were identified and used to visualize Type 2 Diabetes Mellitus data to aid in the self-management of the disease. A prototype, named MedicMetric, was created as an IV tool for visualizing T2DM data. MedicMetric incorporated three charts, namely the change rate view, the radial progress view, and the annotated line view. A usability evaluation was conducted to compare these techniques, and to determine which technique is most suitable for visualizing T2DM data. The results leaned significantly in favor of the annotated line view. The MedicMetric application was compared to the MySygr and Diabetes:M applications. MedicMetric and MySugr obtained almost identical results for effectiveness and efficiency. However, participants indicated that MedicMetric provided the best support best overall, with 100 per cent of participants stating that they would prefer to use the MedicMetric application in future. |
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