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

mHealth for Wellness, Behavior Change and Prevention (2879) Innovations and Technology for Physical Activity Education (743) Fitness Trackers and Smart Pedometers/Accelerometers (561) Usability of Apps and User Perceptions of mHealth (980)

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 Tweetations Metrics

Cailbhe Doherty   1, 2 , BSc, PhD ;   Rory Lambe   1, 2 , BSc ;   Ben O’Grady   1, 2 , BSc ;   Diarmuid O’Reilly-Morgan   2 , BSc ;   Barry Smyth   2 , BSc, PhD ;   Aonghus Lawlor   2 , BSc, PhD ;   Neil Hurley   2 , BSc, PhD ;   Elias Tragos   2 , BSc, PhD

1 School of Public Health, Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland

2 Insight SFI Research Centre for Data Analytics, O'Brien Centre for Science, University College Dublin, Dublin, Ireland

Corresponding Author: