An overview of existing methods for evaluating mobile applications to change user behavior

  • 1 Technical University of Varna


Advances in behavioral science are growing and technologies and portable devices are evolving. Taking into account the characteristics of human behavior and existing biases and heuristics, better and more effective applications can be designed to influence the acquisition and development of positive habits such as goal setting and achievement. This includes goals such as sports, healthy eating, acquisition of daily routine self-care skills, timely medication and more in order to gain self-confidence, confidence and develop an identity. This article will review existing methods for evaluating and synthesis behavioral interventions. The results of the study will be used to build an application to achieve goals



  1. Michie, S., Wood, C. E., Johnston, M., Abraham, C., Francis, J. J., & Hardeman, W. (2015). Behaviour change techniques: the development and evaluation of a taxonomic method for reporting and describing behaviour change interventions (a suite of five studies involving consensus methods, randomised controlled trials and analysis of qualitative data). Health Technology Assessment
  2. Marsden P., (2016) Nudge Psychology – All 93 Behavior Change Techniques Listed and Summarised + Free App [Accessed: 23.11.2016]
  3. Carey R., Connell L., Jonston M., Rothman A., Bruin M., Kelly M., Michie S., (2019) Behavior Change Techniques and Their Mechanisms of Action: A Synthesis of Links Described in Published Intervention Literature volume 53, Oxford Academic, 2019.
  4. Academic Research & Writing Services (2016) Behavior Change Techniques [Accessed: 17.10.2016]
  5. Simeon Р., Dewidar Omar., Trawin J., Duench St., Manson H., Pardo J., Petkovic J., Roberts J., Tugwell P., Yoganathan M., Presseau J., Welch V., (2020) Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review vol. 22, JMIR Mhealth Uhealth, 2020
  6. Chawla S., (2022) Various Categories and Types of Mobile Applications [Accessed: 20.01.2022]
  7. Hagger М., Keatley D., Chan D., The CALO-RE Taxonomy of Behavior-change Techniques, Published by Encyclopedia of Sport and Exercise Psychology (pp.100-105), Publisher: Sage, 2014
  8. Abraham, C., & Michie, S. (2008). A taxonomy of behavior change techniques used in interventions. Health Psychology, 27(3), 379-387, DOI: 10.1037/0278-6133.27.3.379
  9. O´Donovan K., (2021) 18 Best Time Management Apps and Tools (2021) 15-time-management-apps-and-tools.html [Accessed: April 19, 2021]
  10. McMillan, B., Hickey, E., Patel, M.G. et al. (1 more author) (2016) Quality assessment of a sample of mobile app-based health behavior change interventions using a tool based on the National Institute of Health and Care Excellence behavior change guidance. Patient Education and Counseling , 99 (3). pp. 429-435. ISSN 0738-3991 pdf
  11. Haute Autorité de Santé (2021) Assessment of apps in the mobile health (mHealth) sector-Overview and quality criteria of medical content for referencing digital services in the digital health space and the professional service package, Saint-Denis La Plaine: HAS; 2021, ISBN: 978-2-11-162648-5 09/assessment_of_apps_in_the_mobile_health_mhealth_sector ._overview_and_quality_criteria_of_medical_content.pdf
  12. The European Food Information Council (EUFIC) (2014) Behaviour Change Models and Strategies [Accessed: 01 July 2014]
  13. Michie S, Atkins L, West R. (2014) The Behaviour Change Wheel: A Guide to Designing Interventions. London: Silverback Publishing.
  14. Bondaronek P., Alkhaldi G., Slee A., Hamilton F., Murray E., (2018) Quality of Publicly Available Physical Activity Apps: Review and Content Analysis, vol. 6, JMIR Mhealth Uhealth, 2018
  15. Laboratory for Innovation Science at Harvard (2021) Mechanisms of Action (MoA) Prediction. Can you improve the algorithm that classifies drugs based on their biological activity?
  16. Borek AJ, Smith JR, Greaves CJ, et al. (2019) Developing and applying a framework to understand mechanisms of action in group-based, behaviour change interventions: the MAGI mixed-methods study., Efficacy and Mechanism Evaluation, No. 6.3., Southampton (UK):NIHR Journals Library; 2019 Jun.
  17. Rothman A., Simpson J., Huelsnitz Ch., Jones R., Scholz U., (2020) Integrating intrapersonal and interpersonal processes: a key step in advancing the science of behavior change, Health Psychology Review, 14:1, 182-187, DOI: 10.1080/17437199.2020.1719183 12/rothman_et_al_hpr_2020.pdf
  18. Terhorst Y.,Philippi P.,Sander L.,Schultchen D.,Paganini S., Bardus M.,Santo K., Knitza J., Machado G., Schoeppe St.,Bauereiß N.,Portenhauser A.,Domhardt M., Walter B.,Krusche M.,Baumeister H.,Messner E. (2020) Validation of the Mobile Application Rating Scale (MARS) [Accessed: 02.11.2020] ne.0241480
  19. Pagoto, Sherry; Tulu, Bengisu; Agu, Emmanuel; Waring, Molly E.; Oleski, Jessica L.; and Jake-Schoffman, Danielle E., "Using the Habit App for Weight Loss Problem Solving: Development and Feasibility Study" (2018). Open Access Articles. 3505.

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