This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2972) mHealth for Wellness, Behavior Change and Prevention (2910) Behavior Change (718)

Published on in Vol 19, No 11 (2017): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8217, first published .
Implementation Intention and Reminder Effects on Behavior Change in a Mobile Health System: A Predictive Cognitive Model

Implementation Intention and Reminder Effects on Behavior Change in a Mobile Health System: A Predictive Cognitive Model

Implementation Intention and Reminder Effects on Behavior Change in a Mobile Health System: A Predictive Cognitive Model

Authors of this article:

Peter Pirolli1 Author Orcid Image ;   Shiwali Mohan2 Author Orcid Image ;   Anusha Venkatakrishnan2 Author Orcid Image ;   Les Nelson2 Author Orcid Image ;   Michael Silva2 Author Orcid Image ;   Aaron Springer3 Author Orcid Image
Article Authors Cited by (36) Tweetations (15) Metrics

Journals

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  9. Mehrotra S, Tripathi R. Recent developments in the use of smartphone interventions for mental health. Current Opinion in Psychiatry 2018;31(5):379 View
  10. Pirolli P, Youngblood G, Du H, Konrad A, Nelson L, Springer A. Scaffolding the Mastery of Healthy Behaviors with Fittle+ Systems: Evidence-Based Interventions and Theory. Human–Computer Interaction 2021;36(2):73 View
  11. Rowe R, Maurice-Smith M, Mahmood M, Shuja A, Gibson D. Understanding intentions to override intelligent speed assistance prior to widespread availability: An application of the theory of planned behaviour. Accident Analysis & Prevention 2021;151:105975 View
  12. Zucchelli F, Donnelly O, Rush E, Smith H, Williamson H. Designing an mHealth Intervention for People With Visible Differences Based on Acceptance and Commitment Therapy: Participatory Study Gaining Stakeholders’ Input. JMIR Formative Research 2021;5(3):e26355 View
  13. Margineanu I, Louka C, Vincenti-Gonzalez M, Saktiawati A, Schierle J, Abass K, Akkerman O, Alffenaar J, Ranchor A, Stienstra Y. Patients and Medical Staff Attitudes Toward the Future Inclusion of eHealth in Tuberculosis Management: Perspectives From Six Countries Evaluated using a Qualitative Framework. JMIR mHealth and uHealth 2020;8(11):e18156 View
  14. Mohan S. Exploring the Role of Common Model of Cognition in Designing Adaptive Coaching Interactions for Health Behavior Change. ACM Transactions on Interactive Intelligent Systems 2021;11(1):1 View
  15. Bazkiaei H, Khan N, Irshad A, Ahmed A. Pathways toward entrepreneurial intention among Malaysian universities’ students. Business Process Management Journal 2021;27(4):1009 View
  16. A. Kibal'chenko I, V. Eksakusto T. Modern students' mental representations of success. International Journal of Cognitive Research in Science Engineering and Education 2019;7(1):1 View
  17. Domin A, Spruijt-Metz D, Theisen D, Ouzzahra Y, Vögele C. Smartphone-Based Interventions for Physical Activity Promotion: Scoping Review of the Evidence Over the Last 10 Years. JMIR mHealth and uHealth 2021;9(7):e24308 View
  18. Char A, Gaudel P, Kulathinal S, Kinnunen T. Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice 2022;16(3):181 View
  19. Messmer L, Fenouillet F, Legrand E. The impact of reminders on implementation intention: A randomized controlled trial. Applied Cognitive Psychology 2022;36(6):1251 View
  20. Zhou Y, Peng T, Zhu J. Will Time Matter with Cognitive Load and Retention in Online News Consumption?. Digital Journalism 2023;11(1):181 View
  21. Drolet-Labelle V, Laurin D, Bédard A, Drapeau V, Desroches S. Beliefs underlying older adults' intention to consume plant-based protein foods: A qualitative study. Appetite 2023;180:106346 View
  22. Borle P, Boerner-Zobel F, Bias H, Voelter-Mahlknecht S. Start moving - benefits of an onsite workplace health program in the age of digitalization. Journal of Occupational Medicine and Toxicology 2021;16(1) View
  23. Mak W, Franzosa E, Burack O, Reinhardt J. Research Needed on Microlearning as a Training Strategy for CNAs in Skilled Nursing Facilities. Journal of the American Medical Directors Association 2021;22(12):2610 View
  24. Peng S, Othman A, Khairani A, Zhou Z, Zhou X, Yuan F, Liang J. Meta-Analysis of Implementation Intentions Interventions in Promoting Physical Activity among University Students. Sustainability 2023;15(16):12457 View
  25. Breitwieser J, Nobbe L, Biedermann D, Brod G. Boosting self-regulated learning with mobile interventions: Planning and prompting help children maintain a regular study routine. Computers & Education 2023;205:104879 View
  26. Rackemann L, Hamilton K, Keech J. Evaluation of an implementation intentions intervention for managing university student stress. Stress and Health 2024;40(3) View
  27. Lau Y, Wong S, Chee D, Ng B, Ang W, Han C, Cheng L. Technology‐delivered personalized nutrition intervention on dietary outcomes among adults with overweight and obesity: A systematic review, meta‐analysis, and meta‐regression. Obesity Reviews 2024;25(5) View
  28. van der Zanden M, Helder O, Westland H, Ista E. Barriers and facilitators for the implementation of co-created nursing innovations in a Dutch university hospital. JBI Evidence Implementation 2024 View
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  32. Durneva P, LeRouge C. The biopsychosocial perspective on designing mobile health apps for self-management of chronic headaches. Health Systems 2024:1 View

Books/Policy Documents

  1. Hsueh P, Hu X, Cheung Y, Wolff D, Marschollek M, Rogers J. Intelligent Internet of Things. View