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Evaluating effectiveness of stimulus control, time management and self-reward for weight loss behavior change

Published: 07 September 2015 Publication History

Abstract

Behavior change strategies have been found to be effective for weight loss. Over 20 strategies exist but only 4 are commonly included in smartphone weight loss apps. Other strategies such as stimulus control address common reasons users relapse and therefore may help improve the success of weight loss apps. My work focuses on implementing and evaluating the effectiveness of 3 additional interventions, stimulus control, time management and self-reward, for users in different stages of the change process. Here, I present results from a preliminary study on how to design feedback and goal setting to assist users in implementing the stimulus control strategy. I use the findings to present a concept for the inclusion of stimulus control in weight loss apps. Implementation of stimulus control is currently underway.

References

[1]
Kristen M. J. Azar, Lenard I. Lesser, Brian Y. Laing, Janna Stephens, Magi S. Aurora, Lora E. Burke, and Latha P. Palaniappan. 2013. Mobile applications for weight management: theory-based content analysis. American journal of preventive medicine 45,5: 583--589.
[2]
Frank Bentley, Konrad Tollmar, Peter Stephenson, Laura Levy, Brian Jones, Scott Robertson, Ed Price, Richard Catrambone, and Jeff Wilson. 2013. Health Mashups: Presenting statistical patterns between wellbeing data and context in natural language to promote behavior change. ACM Transactions on Computer-Human Interaction 20,5: 30.
[3]
Emily R. Breton, Bernard F. Fuemmeler, and Lorien C. Abroms. 2011.Weight loss---there is an app for that! But does it adhere to evidence-informed practices?.Translational behavioral medicine 1,4: 523--529
[4]
Sunny Consolvo, James A. Landay, and David W. McDonald. Designing for behavior change in everyday life. In Focus 405: 414.
[5]
Sunny Consolvo, David W. McDonald, and James A. Landay. 2009. Theory-driven design strategies for technologies that support behavior change in everyday life. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). http://doi.acm.org/10.1145/1518701.1518766
[6]
Himanshu Gupta. 2014. Barriers to and Facilitators of Long Term Weight Loss Maintenance in Adult UK People: A Thematic Analysis. International journal of preventive medicine 5,12: 1512.
[7]
HealthWise. 2013. Healthy Eating: Overcoming Barriers to Change, Retrieved June 1, 2013 from http://www.webmd.com/food-recipes/healthy-eating-overcoming-barriers-to-change
[8]
Rohit Ashok Khot, Larissa Hjorth, and Florian 'Floyd' Mueller. 2014. Understanding physical activity through 3D printed material artifacts. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14), 3835--3844, http://doi.acm.org/10.1145/2556288.2557144
[9]
Mu Lin, Nicholas D. Lane, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T. Campbell, and Tanzeem Choudhury. 2012. BeWell+: multi-dimensional wellbeing monitoring with community-guided user feedback and energy optimization. In Proceedings of the conference on Wireless Health (WH '12), Article 10, http://doi.acm.org/10.1145/2448096.2448106
[10]
Sean A. Munson, and Sunny Consolvo. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity.2012. In Proceedings Pervasive Computing Technologies for Healthcare, (PervasiveHealth), 25--32.
[11]
Janne Vainio, Ilkka Korhonen, Outi Kenttä, Joona Järvinen, and Kirsikka Kaipainen. 2014. Learning healthy habits with a mobile self-intervention. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '14), 150--157, http://dx.doi.org/10.4108/icst.pervasivehealth.2014.254951

Cited By

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  • (2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
  • (2019)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-31620-4_5(65-92)Online publication date: 1-Nov-2019
  • (2018)Toward Health Information Technology that Supports Overweight/Obese Women in Addressing Emotion- and Stress-Related EatingProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173895(1-14)Online publication date: 21-Apr-2018

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    cover image ACM Conferences
    UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers
    September 2015
    1626 pages
    ISBN:9781450335751
    DOI:10.1145/2800835
    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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    New York, NY, United States

    Publication History

    Published: 07 September 2015

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    Author Tags

    1. behavior change
    2. effectiveness
    3. evidence-based strategies
    4. health
    5. weight loss

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    UbiComp '15
    Sponsor:
    • Yahoo! Japan
    • SIGMOBILE
    • FX Palo Alto Laboratory, Inc.
    • ACM
    • Rakuten Institute of Technology
    • Microsoft
    • Bell Labs
    • SIGCHI
    • Panasonic
    • Telefónica
    • ISTC-PC

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    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

    View all
    • (2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
    • (2019)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-31620-4_5(65-92)Online publication date: 1-Nov-2019
    • (2018)Toward Health Information Technology that Supports Overweight/Obese Women in Addressing Emotion- and Stress-Related EatingProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173895(1-14)Online publication date: 21-Apr-2018

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