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

Tutorial (64) Theoretical Frameworks and Concepts (252) Design and Formative Evaluation of Mobile Apps (694)

Published on in Vol 20, No 6 (2018): June

Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions

Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions

Tutorial for Using Control Systems Engineering to Optimize Adaptive Mobile Health Interventions

Authors of this article:

Eric B Hekler1, 2 Author Orcid Image ;   Daniel E Rivera3 Author Orcid Image ;   Cesar A Martin3, 4 Author Orcid Image ;   Sayali S Phatak2 Author Orcid Image ;   Mohammad T Freigoun3 Author Orcid Image ;   Elizabeth Korinek2 Author Orcid Image ;   Predrag Klasnja5, 6 Author Orcid Image ;   Marc A Adams2 Author Orcid Image ;   Matthew P Buman2 Author Orcid Image
Article Authors Cited by (58) Tweetations (76) Metrics

Journals

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  4. Sucala M, Cole-Lewis H, Arigo D, Oser M, Goldstein S, Hekler E, Diefenbach M. Behavior science in the evolving world of digital health: considerations on anticipated opportunities and challenges. Translational Behavioral Medicine 2021;11(2):495 View
  5. Baretta D, Sartori F, Greco A, D’Addario M, Melen R, Steca P. Improving Physical Activity mHealth Interventions: Development of a Computational Model of Self-Efficacy Theory to Define Adaptive Goals for Exercise Promotion. Advances in Human-Computer Interaction 2019;2019:1 View
  6. Rothman A. It's About Time: Answering the Call for Greater Precision in Research and Practice. Applied Psychology: Health and Well-Being 2019;11(2):191 View
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  9. Conroy D, Lagoa C, Hekler E, Rivera D. Engineering Person-Specific Behavioral Interventions to Promote Physical Activity. Exercise and Sport Sciences Reviews 2020;48(4):170 View
  10. Wood T, Nance E. Disease-directed engineering for physiology-driven treatment interventions in neurological disorders. APL Bioengineering 2019;3(4) View
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  12. Hekler E, Tiro J, Hunter C, Nebeker C. Precision Health: The Role of the Social and Behavioral Sciences in Advancing the Vision. Annals of Behavioral Medicine 2020;54(11):805 View
  13. Arigo D, Jake-Schoffman D, Wolin K, Beckjord E, Hekler E, Pagoto S. The history and future of digital health in the field of behavioral medicine. Journal of Behavioral Medicine 2019;42(1):67 View
  14. Chevance G, Golaszewski N, Baretta D, Hekler E, Larsen B, Patrick K, Godino J. Modelling multiple health behavior change with network analyses: results from a one-year study conducted among overweight and obese adults. Journal of Behavioral Medicine 2020;43(2):254 View
  15. Byrne M. Gaps and priorities in advancing methods for health behaviour change research. Health Psychology Review 2020;14(1):165 View
  16. Robertson M, Green C, Liao Y, Durand C, Basen-Engquist K. Self-efficacy and Physical Activity in Overweight and Obese Adults Participating in a Worksite Weight Loss Intervention: Multistate Modeling of Wearable Device Data. Cancer Epidemiology, Biomarkers & Prevention 2020;29(4):769 View
  17. Zambrano A, Diaz-Garcia G, Ramirez S, Giraldo L, Gonzalez-Villasanti H, Perdomo M, Hernandez I, Godoy J. Donation Networks in Underprivileged Communities. IEEE Transactions on Computational Social Systems 2021;8(1):76 View
  18. Kim M, Choi H. Digital Therapeutics for Obesity and Eating-Related Problems. Endocrinology and Metabolism 2021;36(2):220 View
  19. Downs D, Savage J, Rivera D, Pauley A, Leonard K, Hohman E, Guo P, McNitt K, Stetter C, Kunselman A. Adaptive, behavioral intervention impact on weight gain, physical activity, energy intake, and motivational determinants: results of a feasibility trial in pregnant women with overweight/obesity. Journal of Behavioral Medicine 2021;44(5):605 View
  20. Chevance G, Baretta D, Heino M, Perski O, Olthof M, Klasnja P, Hekler E, Godino J, Jan Y. Characterizing and predicting person-specific, day-to-day, fluctuations in walking behavior. PLOS ONE 2021;16(5):e0251659 View
  21. Heino M, Knittle K, Noone C, Hasselman F, Hankonen N. Studying Behaviour Change Mechanisms under Complexity. Behavioral Sciences 2021;11(5):77 View
  22. schraefel m, Muresan G, Hekler E. Experiment in a Box (XB): An Interactive Technology Framework for Sustainable Health Practices. Frontiers in Computer Science 2021;3 View
  23. Peznola S, Gauthier L, Claypool M, Roop B, Lammert A. Compliance With In-Home Self-Managed Rehabilitation Post-Stroke is Largely Independent of Scheduling Approach. Archives of Physical Medicine and Rehabilitation 2023;104(4):554 View
  24. Perski O, Kwasnicka D, Kale D, Schneider V, Szinay D, ten Hoor G, Asare B, Verboon P, Powell D, Naughton F, Keller J. Within‐person associations between psychological and contextual factors and lapse incidence in smokers attempting to quit: A systematic review and meta‐analysis of ecological momentary assessment studies. Addiction 2023;118(7):1216 View
  25. Kelley M, Kue J, Brophy L, Peabody A, Foraker R, Yen P, Tucker S. Mobile Health Applications, Cancer Survivors, and Lifestyle Modification. CIN: Computers, Informatics, Nursing 2021;39(11):755 View
  26. Guo P, Rivera D, Dong Y, Deshpande S, Savage J, Hohman E, Pauley A, Leonard K, Downs D. Optimizing behavioral interventions to regulate gestational weight gain with sequential decision policies using hybrid model predictive control. Computers & Chemical Engineering 2022;160:107721 View
  27. Adams M, Todd M, Angadi S, Hurley J, Stecher C, Berardi V, Phillips C, McEntee M, Hovell M, Hooker S. Adaptive Goals and Reinforcement Timing to Increase Physical Activity in Adults: A Factorial Randomized Trial. American Journal of Preventive Medicine 2022;62(2):e57 View
  28. Perski O, Hébert E, Naughton F, Hekler E, Brown J, Businelle M. Technology‐mediated just‐in‐time adaptive interventions (JITAIs) to reduce harmful substance use: a systematic review. Addiction 2022;117(5):1220 View
  29. Freigoun M, Tsakalis K, Raupp G. On the Identification of Social Cognitive Theory Models and Closed-loop Intervention Simulations Using Hybrid Model Predictive Control. IFAC-PapersOnLine 2021;54(7):31 View
  30. Chevance G, Baretta D, Romain A, Godino J, Bernard P. Day-to-day associations between sleep and physical activity: a set of person-specific analyses in adults with overweight and obesity. Journal of Behavioral Medicine 2022;45(1):14 View
  31. Spruijt-Metz D, Marlin B, Pavel M, Rivera D, Hekler E, De La Torre S, El Mistiri M, Golaszweski N, Li C, Braga De Braganca R, Tung K, Kha R, Klasnja P. Advancing Behavioral Intervention and Theory Development for Mobile Health: The HeartSteps II Protocol. International Journal of Environmental Research and Public Health 2022;19(4):2267 View
  32. Cevallos D, Martín C, El Mistiri M, Rivera D, Hekler E. Un esquema de decisiones para intervenciones adaptativas comportamentales de actividad física basado en control predictivo por modelo híbrido: ilustración con Just Walk. Revista Iberoamericana de Automática e Informática industrial 2022;19(3):297 View
  33. Monacelli G, Zhang L, Schlee W, Langguth B, Ward T, Murphy T. Adaptive data collection for intraindividual studies affected by adherence. Biometrical Journal 2023;65(7) View
  34. Salazar C, Martin C, Aguirre A, Eslambolchilar P, Asanza V. Modeling of Physical Activity Behavioral Interventions Relying on MPC Strategy. Applied Sciences 2023;13(11):6437 View
  35. Park J, Kim M, El Mistiri M, Kha R, Banerjee S, Gotzian L, Chevance G, Rivera D, Klasnja P, Hekler E. Advancing Understanding of Just-in-Time States for Supporting Physical Activity (Project JustWalk JITAI): Protocol for a System ID Study of Just-in-Time Adaptive Interventions. JMIR Research Protocols 2023;12:e52161 View
  36. Lopes S, Ferreira A, Prada R, Schwarzer R. Social robots as health promoting agents: An application of the health action process approach to human-robot interaction at the workplace. International Journal of Human-Computer Studies 2023;180:103124 View
  37. Sanders J, Gokal K, Thomas J, Rawstorn J, Sherar L, Maddison R, Greaves C, Esliger D, Daley A. Development of a Mobile Health Snacktivity App to Promote Physical Activity in Inactive Adults (SnackApp): Intervention Mapping and User Testing Study. JMIR Formative Research 2023;7:e41114 View
  38. Kim M, Patrick K, Nebeker C, Godino J, Stein S, Klasnja P, Perski O, Viglione C, Coleman A, Hekler E. The Digital Therapeutics Real-World Evidence Framework: An Approach for Guiding Evidence-Based Digital Therapeutics Design, Development, Testing, and Monitoring. Journal of Medical Internet Research 2024;26:e49208 View
  39. Landis‐Lewis Z, Janda A, Chung H, Galante P, Cao Y, Krumm A. Precision feedback: A conceptual model. Learning Health Systems 2024;8(3) View
  40. Banerjee S, Kha R, Rivera D, Hekler E. Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach. Journal of Process Control 2024;139:103242 View
  41. Perski O, Kale D, Leppin C, Okpako T, Simons D, Goldstein S, Hekler E, Brown J, Or C. Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development. PLOS Digital Health 2024;3(8):e0000594 View
  42. De La Torre S, El Mistiri M, Hekler E, Klasnja P, Marlin B, Pavel M, Spruijt-Metz D, Rivera D. Modeling engagement with a digital behavior change intervention (HeartSteps II): An exploratory system identification approach. Journal of Biomedical Informatics 2024;158:104721 View
  43. Staehelin D, Dolata M, Rosch S, Färber A, Schwabe G. "Let's embark on a joint health journey" - How Boundary Negotiating Artifacts Influence Patients' Psychological Ownership in Chronic Care. Proceedings of the ACM on Human-Computer Interaction 2024;8(CSCW2):1 View

Books/Policy Documents

  1. Schwarzer R, Hamilton K. The Handbook of Behavior Change. View
  2. Rivera D, Hekler E, Savage J, Downs D. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions. View
  3. Choe E, Klasnja P, Pratt W. Biomedical Informatics. View
  4. . Nursing and Health Interventions. View
  5. Keller R, Wangenheim F, Mair J, Kowatsch T. Digital Therapeutics for Mental Health and Addiction. View
  6. . Nursing and Health Interventions. View
  7. Kowatsch T, Fleisch E. Connected Business. View
  8. Staehelin D, Franke K, Huber L, Schwabe G. Persuasive Technology. View