Design requirements for technologies that encourage physical activity
Abstract
Overweight and obesity are a global epidemic, with over one billion overweight adults worldwide (300+ million of whom are obese). Obesity is linked to several serious health problems and medical conditions. Medical experts agree that physical activity is critical to maintaining fitness, reducing weight, and improving health, yet many people have difficulty increasing and maintaining physical activity in everyday life. Clinical studies have shown that health benefits can occur from simply increasing the number of steps one takes each day and that social support can motivate people to stay active. In this paper, we describe Houston, a prototype mobile phone application for encouraging activity by sharing step count with friends. We also present four design requirements for technologies that encourage physical activity that we derived from a three-week long in situ pilot study that was conducted with women who wanted to increase their physical activity.
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Accuracy of data obtained by a sensor is critical in terms of giving proper credit to users.
“Accuracy of data obtained by a sensor is critical in terms of giving proper credit to users [48,68].”
From Long-Term Engagement With a Mobile Self-Management System for People With Type 2 Diabetes (2013) · cites this paper as [68]
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- Authors
- Consolvo, S., Everitt, K., Smith, I., & Landay, J. A.
- Affiliations
- University of Washington (US)
- Intel (United States) (US)
- Venue
- Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2006-04-22
- Pages
- 457-466
- OpenAlex
- W2129343065
- Semantic Scholar
- 24d3f6c7d46a351919a845b2bf62da1b10c05e19
- Cited by
- 801
- References
- 14
- Citations by year
- 2026: 14 · 2025: 16 · 2024: 19 · 2023: 20 · 2022: 22 · 2021: 38 · 2020: 37 · 2019: 26 · 2018: 53 · 2017: 56 · 2016: 58 · 2015: 64 · 2014: 72 · 2013: 61 · 2012: 52
- FWCI
- 227.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Funders
- University of Washington
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- mobile application, step counting, social support, obesity, overweight, design requirements, women, health behavior change
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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