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

mHealth for Wellness, Behavior Change and Prevention (3315) Innovations and Technology for Physical Activity Education (926) Fitness Trackers and Smart Pedometers/Accelerometers (665) Usability of Apps and User Perceptions of mHealth (1188)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/49443, first published .
An Evaluation of the Effect of App-Based Exercise Prescription Using Reinforcement Learning on Satisfaction and Exercise Intensity: Randomized Crossover Trial

An Evaluation of the Effect of App-Based Exercise Prescription Using Reinforcement Learning on Satisfaction and Exercise Intensity: Randomized Crossover Trial

An Evaluation of the Effect of App-Based Exercise Prescription Using Reinforcement Learning on Satisfaction and Exercise Intensity: Randomized Crossover Trial

Authors of this article:

Cailbhe Doherty1, 2 Author Orcid Image ;   Rory Lambe1, 2 Author Orcid Image ;   Ben O’Grady1, 2 Author Orcid Image ;   Diarmuid O’Reilly-Morgan2 Author Orcid Image ;   Barry Smyth2 Author Orcid Image ;   Aonghus Lawlor2 Author Orcid Image ;   Neil Hurley2 Author Orcid Image ;   Elias Tragos2 Author Orcid Image
Article Authors Cited by (7) Tweetations Metrics Author Video

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  1. Li R, Li Y, Wang L, Li L, Fu C, Hu D, Wei Q. Wearable Activity Tracker–Based Interventions for Physical Activity, Body Composition, and Physical Function Among Community-Dwelling Older Adults: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2025;27:e59507 View
  2. Doherty C, Baldwin M, Lambe R, Altini M, Caulfield B. Privacy in consumer wearable technologies: a living systematic analysis of data policies across leading manufacturers. npj Digital Medicine 2025;8(1) View
  3. Karataş G, Metin Tarhan Ş, Elpen Kodaz Ç, Karataş F, Tarhan R. Adherence to Home Exercise Programs: The Impact of Demographic and Clinical Factors. Medical Journal of Western Black Sea 2025;9(2):299 View
  4. Hao J. Harnessing artificial intelligence for cancer rehabilitation: A call to action. Supportive Care in Cancer 2025;33(11) View
  5. Leite M, Silva A, Funghetto S, de Lima L, Mezavila Abdelmur S, Pinheiro H, de Souza Silva C, Dutra M, Stival M. Home-Based Exercise and Fall Prevention in Older Adults: Development, Validation and Usability of the Mais Equilíbrio Mobile App. JMIR Aging 2025;8:e80724 View

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