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More Than Numbers: Designing Effective Diabetes Decision Support

Published: 06 May 2017 Publication History

Abstract

Type 1 Diabetes is a serious condition that demands careful balancing of lifestyle and medication to avoid serious complications. Current mobile health approaches for diabetes management are usually either automated insulin delivery systems or logbooks that depend on manual data collection and reflection. Both have their shortcoming such as loss of engagement and autonomy in the former approach, or fatigue and cognitive stress in the latter. Based on my pilot research, my thesis considers the wider implications of an approach that: (1) reduces workload through minimizing manual logging; (2) automates knowledge extraction from collected data (3) communicates insight in the right way at the right time; (4) creates a feedback loop that encourages previously effective behaviors. This thesis contributes to the exploration and evaluation of new strategies for mobile personalized support through ubiquitous computing technologies, and the development of tools for improving the lives of those with chronic health conditions

References

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  • (2024)Afro-centred Collaborative care: Technology support for Type 2 Diabetes Management in Port Harcourt, NigeriaExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651128(1-4)Online publication date: 11-May-2024

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    cover image ACM Conferences
    CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2017
    3954 pages
    ISBN:9781450346566
    DOI:10.1145/3027063
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    New York, NY, United States

    Publication History

    Published: 06 May 2017

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    Author Tags

    1. health management
    2. healthcare
    3. internet of personal health
    4. internet of things
    5. quantified self
    6. sensors
    7. smartphone apps
    8. wellbeing

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    • ERC Advanced Grant
    • Google Europe Scholar for Students with Disabilities

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    CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    • (2024)Afro-centred Collaborative care: Technology support for Type 2 Diabetes Management in Port Harcourt, NigeriaExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651128(1-4)Online publication date: 11-May-2024

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