research-article

Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management

Authors:

Pooja M. Desai,

Elliot G. Mitchell,

Maria L. Hwang,

Matthew E. Levine,

David J. Albers,

Lena MamykinaAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 370, Pages 1 - 13

https://doi.org/10.1145/3290605.3300600

Published: 02 May 2019 Publication History

Abstract

The increasing availability of health data and knowledge about computationally modeling human physiology opens new opportunities for personalized predictions in health. Yet little is known about how individuals interact and reason with personalized predictions. To explore these questions, we developed a smartphone app, GlucOracle, that uses self-tracking data of individuals with type 2 diabetes to generate personalized forecasts for post-meal blood glucose levels. We pilot-tested GlucOracle with two populations: members of an online diabetes community, knowledgeable about diabetes and technologically savvy; and individuals from a low socio-economic status community, characterized by high prevalence of diabetes, low literacy and limited experience with mobile apps. Individuals in both communities engaged with personal glucose forecasts and found them useful for adjusting immediate meal options, and planning future meals. However, the study raised new questions as to appropriate time, form, and focus of forecasts and suggested new research directions for personalized predictions in health.

Supplementary Material

ZIP File (paper370.zip)

This supplementary folder contains additional graphs and data to supplement notes about usage of the GlucOrcale tool described in the paper. Two graphs are included:

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Cited By

Arueyingho OAprioku JMarshall PO'Kane A(2024)Insights Into Sociodemographic Influences on Type 2 Diabetes Care and Opportunities for Digital Health Promotion in Port Harcourt, Nigeria: Quantitative StudyJMIR Diabetes10.2196/567569(e56756)Online publication date: 21-Aug-2024
https://doi.org/10.2196/56756
Zehrung RReddy MChen Y(2024)Transitioning Together: Collaborative Work in Adolescent Chronic Illness ManagementProceedings of the ACM on Human-Computer Interaction10.1145/36869568:CSCW2(1-24)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686956
Figueiredo MAnkrah EPowell JEpstein DChen Y(2024)Powered by AIProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314147:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631414
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Index Terms

Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
  2. Ubiquitous and mobile computing
    1. Empirical studies in ubiquitous and mobile computing

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cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

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Published: 02 May 2019

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CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

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CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;

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https://doi.org/10.2196/56756
Zehrung RReddy MChen Y(2024)Transitioning Together: Collaborative Work in Adolescent Chronic Illness ManagementProceedings of the ACM on Human-Computer Interaction10.1145/36869568:CSCW2(1-24)Online publication date: 8-Nov-2024
https://dl.acm.org/doi/10.1145/3686956
Figueiredo MAnkrah EPowell JEpstein DChen Y(2024)Powered by AIProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36314147:4(1-24)Online publication date: 12-Jan-2024
https://dl.acm.org/doi/10.1145/3631414
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Barth CBernard JHuang E(2024)"It's like a glimpse into the future": Exploring the Role of Blood Glucose Prediction Technologies for Type 1 Diabetes Self-ManagementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642234(1-21)Online publication date: 11-May-2024
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Mamykina LMitchell EDesai PAlbers D(2024)Intelligent Decision Support in Personal Health: Personalized Health Coaching in Type 2 DiabetesHuman Computer Interaction in Healthcare10.1007/978-3-031-69947-4_17(413-438)Online publication date: 14-Nov-2024
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