research-article

Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change

Authors:

Konrad Tollmar,

Peter Stephenson,

Scott Robertson,

Richard Catrambone,

Jeff WilsonAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 20, Issue 5

Article No.: 30, Pages 1 - 27

https://doi.org/10.1145/2503823

Published: 01 November 2013 Publication History

Abstract

People now have access to many sources of data about their health and wellbeing. Yet, most people cannot wade through all of this data to answer basic questions about their long-term wellbeing: Do I gain weight when I have busy days? Do I walk more when I work in the city? Do I sleep better on nights after I work out?

We built the Health Mashups system to identify connections that are significant over time between weight, sleep, step count, calendar data, location, weather, pain, food intake, and mood. These significant observations are displayed in a mobile application using natural language, for example, “You are happier on days when you sleep more.” We performed a pilot study, made improvements to the system, and then conducted a 90-day trial with 60 diverse participants, learning that interactions between wellbeing and context are highly individual and that our system supported an increased self-understanding that lead to focused behavior changes.

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Loerakker MNiess JWoźniak P(2024)Technology which Makes You ThinkProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596158:2(1-24)Online publication date: 15-May-2024
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Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behavior Change

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 20, Issue 5

November 2013

129 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/2533682

Issue’s Table of Contents

Copyright © 2013 ACM.

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Publication History

Published: 01 November 2013

Accepted: 01 June 2013

Revised: 01 June 2013

Received: 01 December 2012

Published in TOCHI Volume 20, Issue 5

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https://dl.acm.org/doi/10.1145/3663384.3663402
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