Health Mashups

Author:

Bentley Frank1,Tollmar Konrad2,Stephenson Peter3,Levy Laura4,Jones Brian4,Robertson Scott4,Price Ed4,Catrambone Richard4,Wilson Jeff4

Affiliation:

1. Motorola Applied Research Center

2. Royal Institute of Technology

3. Humana

4. Georgia Institute of Technology

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.

Funder

Kungliga Tekniska Högskolan

Humana

Publisher

Association for Computing Machinery (ACM)

Subject

Human-Computer Interaction

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