research-article

Information Visualization for Diabetes Management: A Literature Review

Authors:

Andrea G. Parker,

Cody DunneAuthors Info & Claims

PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

Pages 427 - 430

https://doi.org/10.1145/3421937.3421957

Published: 02 February 2021 Publication History

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.

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Cited By

Scimone AEckelt KStreit MHinterreiter A(2024)Marjorie: Visualizing Type 1 Diabetes Data to Support Pattern ExplorationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332693630:1(1216-1226)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326936
Bartolome AShah SPrioleau T(2021)GlucoMineProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34781095:3(1-24)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3478109

Index Terms

Information Visualization for Diabetes Management: A Literature Review
1. Human-centered computing
  1. Visualization

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cover image ACM Other conferences

PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 2020

446 pages

ISBN:9781450375320

DOI:10.1145/3421937

Editors:
Sean A. Munson
Human Centered Design & Engineering, University of Washington
,
Stephen M. Schueller
University of California, Irvine
,
General Chair:
Rosa Arriaga
Georgia Institute of Technology, USA

Copyright © 2020 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 February 2021

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PervasiveHealth '20

PervasiveHealth '20: 14th EAI International Conference on Pervasive Computing Technologies for Healthcare

May 18 - 20, 2020

GA, Atlanta, USA

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PervasiveHealth '20 Paper Acceptance Rate 55 of 116 submissions, 47%;

Overall Acceptance Rate 55 of 116 submissions, 47%

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Cited By

Scimone AEckelt KStreit MHinterreiter A(2024)Marjorie: Visualizing Type 1 Diabetes Data to Support Pattern ExplorationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332693630:1(1216-1226)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1109/TVCG.2023.3326936
Bartolome AShah SPrioleau T(2021)GlucoMineProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34781095:3(1-24)Online publication date: 14-Sep-2021
https://dl.acm.org/doi/10.1145/3478109

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