Information visualization for diabetes management: A literature review

@Misc{Zhang2020InformationVisualizationDiabetes,
  author    = {Zhang, Yixuan and Parker, Andrea G. and Dunne, Cody},
  note      = {Preprint: https://osf.io/b632g},
  title     = {Information visualization for diabetes management: A literature review},
  year      = {2020},
  abstract  = {Type 1 diabetes is a chronic illness that affects millions of people. People with type 1 diabetes regularly collect multidimensional data which they use to improve their well-being. Such data often includes blood glucose levels, insulin administration, diet, and physical activity. Monitoring and analysis tools for diabetes care often include information visualizations to help people make sense of this complex data. However, we have only an incomplete understanding of the visualization design approaches used or any justifications for the final design. To address this gap, we surveyed 21 diabetes data analysis tools which use visualization. From this, we derived a design space that consists of data, views, and strategies. We also provide design considerations for future researchers, tool designers, and developers.},
  booktitle = {Proc. 14th EAI International Conference on Pervasive Computing Technologies for Healthcare},
  doi       = {10.1145/3421937.3421957},
  isbn      = {9781450375320},
  keywords  = {Personal informatics, sensemaking, Type 1 diabetes, visualization},
  numpages  = {4},
  pages     = {427-430},
  series    = {PervasiveHealth},
}

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