Article

Design requirements for technologies that encourage physical activity

Authors:

Sunny Consolvo,

Katherine Everitt,

James A. LandayAuthors Info & Claims

CHI '06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 457 - 466

https://doi.org/10.1145/1124772.1124840

Published: 22 April 2006 Publication History

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.

References

[1]

T.W. Bickmore, L. Caruso, K. Clough-Gorr, "Acceptance and usability of a relational agent interface by urban older adults," In CHI '05 Extended Abstracts, ACM Press, Portland, OR, (Apr 2005), pp. 1212--5.

Digital Library

[2]

Centers for Disease Control and Prevention, Behavior Risk Factor Surveillance System Survey Questionnaire (BRFSS), Atlanta, GA, (Feb 2004).

[3]

Centers for Disease Control and Prevention, U.S. Dept of Health & Human Svcs, "Preventing Obesity and Chronic Diseases Through Good Nutrition and Physical Activity," Preventing Chronic Diseases: Investing Wisely in Health, (Jul 2003).

[4]

C.B. Chan, E. Spangler, J. Valcour, C. Tudor-Locke, "Cross-sectional Relationship of Pedometer-Determined Ambulatory Activity to Indicators of Health," Obesity Research, Vol.11, No. 12, (Dec 2003).

[5]

Consumer Reports, "Pedometers: Walking by the numbers," Consumer Reports, 69(10), (2004), pp.30--2.

[6]

B.J. Fogg, Persuasive Technology: Using Computers to Change What We Think and Do, San Francisco, CA: Morgan Kaufmann Publishers, (2003).

Digital Library

[7]

G. Iachello, I. Smith, S. Consolvo, G.D. Abowd, J. Hughes, J. Howard, F. Potter, J. Scott, T. Sohn, J. Hightower, A. LaMarca, "Control, Deception, and Communication: Evaluating the Deployment of a Location-Enhanced Messaging Service," Proceedings of UbiComp '05, Tokyo, Japan (Sep 2005), pp. 213--31.

Digital Library

[8]

International Physical Activity Questionnaire (IPAQ): Long Last 7 Days Self-Administered Format, (Oct 2002). http://www.ipaq.ki.se/ {verified 4 Jan 2006}

[9]

J. Lester, T. Choudhury, G. Borriello, "A Practical Approach to Recognizing Physical Activities," Proc. of Pervasive '06, Dublin, Ireland (May 2006-to appear).

Digital Library

[10]

S. Mokka, A. V��t�nen, J. Heinil�, P. V�lkkynen, "Fitness computer game with a bodily user interface," Proc ICEC '03, Pittsburgh, PA, (May 2003), pp. 1--3.

Digital Library

[11]

F. Mueller, S. Agamanolis, R. Picard, "Exertion interfaces: sports over a distance for social bonding and fun," Proceedings of CHI '03, Fort Lauderdale, FL, ACM Press (Apr 2003), pp.561--8.

Digital Library

[12]

National Institutes of Health, The Practical Guide: Identification, Evaluation, & Treatment of Overweight & Obesity in Adults, NIH Pub No. 00-4084, (Oct 2000).

[13]

President's Council on Physical Fitness and Sports, Walking Works: The Blue Program for a Healthier America, (Jul 2004).

[14]

J.O. Prochaska, C.C. DiClemente, J.C. Norcross, "In search of how people change: Applications to addictive behaviors," Amer Psych, 47(9), (Sep 1992), pp.1102--14.

[15]

I. Smith, S. Consolvo, J. Hightower, J. Hughes, G. Iachello, A. LaMarca, J. Scott, T. Sohn, G. Abowd, "Social Disclosure Of Place: From Location Technology to Communication Practice," Proceedings of Pervasive '05, Munich, Germany (May 2005), pp.134--51.

Digital Library

[16]

B.J. Speck, S.W. Looney, "Effects of minimal intervention to increase physical activity in women: daily activity records," Nursing Research, 50(6), (Nov 2001), pp.374--8.

[17]

F.A. Treiber, T. Baranowski, D.S. Braden, W.B. Strong, M. Levy, W. Knox, "Social Support for Exercise: Relationship to Physical Activity in Young Adults," Preventative Medicine, Vol. 20, (1991), pp.737--50.

[18]

C. Tudor-Locke, "Taking Steps Toward Increased Physical Activity: Using Pedometers to Measure and Motivate," President's Council on Physical Fitness and Sports: Research Digest, Series 3, No. 17, (June 2002).

[19]

U.S. Department of Health & Human Services, Physical Activity and Health: A Report of the Surgeon General, Atlanta, GA: U.S. Department of Health & Human Services, Centers for Disease Control & Prevention, National Center for Chronic Disease Prevention & Health Promotion, (1996).

[20]

U.S. Department of Health & Human Services, The Surgeon General's call to action to prevent and decrease overweight and obesity, Rockville, MD: U.S. Dept of Health & Human Services, Public Health Svc, Office of the Surgeon General, (2001).

[21]

U.S. Department of Health & Human Services, Public Health Service, Centers for Disease Control & Prevention, National Center for Chronic Disease Prevention & Health Promotion, Division of Nutrition & Physical Activity, Promoting Physical Activity: A Guide for Community Action, Champaign, IL: Human Kinetics, (1999).

[22]

Weight-control Information Network, "Statistics Related to Overweight and Obesity" http://win.niddk.nih.gov/statistics/ {ver. 4 Jan 2006}

[23]

World Health Organization, "Obesity and Overweight," Chronic Disease Information Sheet, http://www.who.int/dietphysicalactivity/publications/facts/obesity/en/index.html {verified 4 Jan 2006}

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https://dl.acm.org/doi/10.1145/3676505
Saksono HParker A(2024)Socio-Cognitive Framework for Personal Informatics: A Preliminary Framework for Socially-Enabled Health TechnologiesACM Transactions on Computer-Human Interaction10.1145/367450431:3(1-41)Online publication date: 30-Jun-2024
https://dl.acm.org/doi/10.1145/3674504
Nepal SLiu WPillai AWang WVojdanovski VHuckins JRogers CMeyer MCampbell A(2024)Capturing the College ExperienceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435018:1(1-37)Online publication date: 6-Mar-2024
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Index Terms

Design requirements for technologies that encourage physical activity
1. Human-centered computing
  1. Collaborative and social computing
  2. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

CHI '06: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2006

1353 pages

ISBN:1595933727

DOI:10.1145/1124772

Editors:
Rebecca Grinter
Georgia Institute of Technology, USA
,
Thomas Rodden
University of Nottingham, UK
,
Paul Aoki
Intel, USA
,
Ed Cutrell
Microsoft, USA
,
Robin Jeffries
Google, USA
,
Gary Olson
University of Michigan, USA

Copyright � 2006 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 22 April 2006

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CHI06: CHI 2006 Conference on Human Factors in Computing Systems

April 22 - 27, 2006

Qu�bec, Montr�al, Canada

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Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Islam RBae S(2024)FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic SettingsProceedings of the ACM on Human-Computer Interaction10.1145/36765058:MHCI(1-32)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676505
Saksono HParker A(2024)Socio-Cognitive Framework for Personal Informatics: A Preliminary Framework for Socially-Enabled Health TechnologiesACM Transactions on Computer-Human Interaction10.1145/367450431:3(1-41)Online publication date: 30-Jun-2024
https://dl.acm.org/doi/10.1145/3674504
Nepal SLiu WPillai AWang WVojdanovski VHuckins JRogers CMeyer MCampbell A(2024)Capturing the College ExperienceProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435018:1(1-37)Online publication date: 6-Mar-2024
https://dl.acm.org/doi/10.1145/3643501
Sefidgar YJ�rke MSuh JSaha KIqbal SRamos GCzerwinski M(2024)Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental ContrastingProceedings of the ACM on Human-Computer Interaction10.1145/36373518:CSCW1(1-29)Online publication date: 26-Apr-2024
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Yang MMoffatt K(2024)Navigating the Maze of Routine Disruption: Exploring How Older Adults Living Alone Navigate Barriers to Establishing and Maintaining Physical Activity HabitsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642842(1-15)Online publication date: 11-May-2024
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Pasumarthy NNisal SDanaher Jvan den Hoven EKhot R(2024)Go-Go Biome: Evaluation of a Casual Game for Gut Health Engagement and ReflectionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642742(1-20)Online publication date: 11-May-2024
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Terzimehić NHuber JAragon-Hahner SMayer S(2024)Real-World Winds: Micro Challenges to Promote Balance Post Smartphone OverloadProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642583(1-16)Online publication date: 11-May-2024
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Xu KYan XRyu MNewman MArriaga R(2024)Understanding the Effect of Reflective Iteration on Individuals’ Physical Activity PlanningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641937(1-17)Online publication date: 11-May-2024
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Fuad MSmith ADeb D(2024)A Mobile App-Based Indoor Mobility Detection Approach Using Bluetooth Signal Strength2024 International Conference on Computing, Networking and Communications (ICNC)10.1109/ICNC59896.2024.10556068(962-968)Online publication date: 19-Feb-2024
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