Literature DB >> 31751254

Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review.

Francisco Monteiro-Guerra, Octavio Rivera-Romero, Luis Fernandez-Luque, Brian Caulfield.   

Abstract

Mobile monitoring for health and wellness is becoming more sophisticated and accurate, with an increased use of real-time personalization technologies that may improve the effectiveness of physical activity coaching systems. This study aimed to review real-time physical activity coaching applications that make use of personalization mechanisms. A scoping review, using the PRISMA-ScR checklist, was conducted on the literature published from July 2007 to July 2018. A data extraction tool was developed to analyze the systems on general characteristics, personalization, design foundations (behavior change and gamification) and evaluation methods. 28 papers describing 17 different mobile applications were included. The most used personalization concepts were Feedback (17/17), Goal Setting (15/17), User Targeting (9/17) and Inter-human Interaction (8/17), while the less commonly covered were Self-Learning (4/17), Context Awareness (3/17) and Adaptation (2/17). Few systems considered behavior change theories for design (6/17). A total of 42 instances of gamification-related elements were found across 15 systems, but only 6 explicitly mention its use. Most systems (15/17) were submitted to some type of evaluation. However, few assessed the effects of particular strategies or overall system effectiveness using randomized experimental designs (5/17). Although personalization is thought to improve user adherence in physical activity coaching applications, it is still far from reaching its full potential. We believe that future work should consider the theory and suggestions reported in prior work; leverage the needs of the target users for personalization; include behavior change foundations and explore gamification theory; and properly evaluate these systems.

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Year:  2019        PMID: 31751254     DOI: 10.1109/JBHI.2019.2947243

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  11 in total

1.  Breast Cancer Physical Activity Mobile Intervention: Early Findings From a User Experience and Acceptability Mixed Methods Study.

Authors:  Gabriel Ruiz Signorelli; Francisco Monteiro-Guerra; Octavio Rivera-Romero; Francisco J Núñez-Benjumea; Luis Fernández-Luque
Journal:  JMIR Form Res       Date:  2022-06-22

2.  Involving Older Adults During COVID-19 Restrictions in Developing an Ecosystem Supporting Active Aging: Overview of Alternative Elicitation Methods and Common Requirements From Five European Countries.

Authors:  Kerli Mooses; Mariana Camacho; Filippo Cavallo; Michael David Burnard; Carina Dantas; Grazia D'Onofrio; Adriano Fernandes; Laura Fiorini; Ana Gama; Ana Perandrés Gómez; Lucia Gonzalez; Diana Guardado; Tahira Iqbal; María Sanchez Melero; Francisco José Melero Muñoz; Francisco Javier Moreno Muro; Femke Nijboer; Sofia Ortet; Erika Rovini; Lara Toccafondi; Sefora Tunc; Kuldar Taveter
Journal:  Front Psychol       Date:  2022-02-28

3.  Mobile-Health based physical activities co-production policies towards cardiovascular diseases prevention: findings from a mixed-method systematic review.

Authors:  Gabriele Palozzi; Gianluca Antonucci
Journal:  BMC Health Serv Res       Date:  2022-03-01       Impact factor: 2.655

4.  Mitigating Issues With/of/for True Personalization.

Authors:  Harri Oinas-Kukkonen; Sami Pohjolainen; Eunice Agyei
Journal:  Front Artif Intell       Date:  2022-04-26

5.  A WeChat-Based Rehabilitation Platform for Children and Adolescents with Congenital Heart Disease to Promote Cardiac FITness (HeartFIT): Protocol for a Mixed-Methods Strategy from Evidence-Based Design to Pilot Study.

Authors:  Yuan Li; Yaxin Zhou; Miao Chen; Mei R Fu; Biru Luo; Pengming Yu; Hong Zheng; Fangfei Liu
Journal:  J Multidiscip Healthc       Date:  2022-04-29

6.  Development and Initial Testing of a Personalized, Adaptive, and Socially Focused Web Tool to Support Physical Activity Among Women in Midlife: Multidisciplinary and User-Centered Design Approach.

Authors:  Danielle Arigo; Andrea F Lobo; M Cole Ainsworth; Kiri Baga; Kristen Pasko
Journal:  JMIR Form Res       Date:  2022-07-26

7.  A personalized mobile app for physical activity: An experimental mixed-methods study.

Authors:  Huong Ly Tong; Juan C Quiroz; Ahmet Baki Kocaballi; Kiran Ijaz; Enrico Coiera; Clara K Chow; Liliana Laranjo
Journal:  Digit Health       Date:  2022-07-21

8.  A Personalized Physical Activity Coaching App for Breast Cancer Survivors: Design Process and Early Prototype Testing.

Authors:  Francisco Monteiro-Guerra; Gabriel Ruiz Signorelli; Shreya Tadas; Enrique Dorronzoro Zubiete; Octavio Rivera Romero; Luis Fernandez-Luque; Brian Caulfield
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-15       Impact factor: 4.773

9.  mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study.

Authors:  Adrian Aguilera; Caroline A Figueroa; Rosa Hernandez-Ramos; Urmimala Sarkar; Anupama Cemballi; Laura Gomez-Pathak; Jose Miramontes; Elad Yom-Tov; Bibhas Chakraborty; Xiaoxi Yan; Jing Xu; Arghavan Modiri; Jai Aggarwal; Joseph Jay Williams; Courtney R Lyles
Journal:  BMJ Open       Date:  2020-08-20       Impact factor: 2.692

10.  Breast Cancer Survivors' Perspectives on Motivational and Personalization Strategies in Mobile App-Based Physical Activity Coaching Interventions: Qualitative Study.

Authors:  Francisco Monteiro-Guerra; Gabriel Ruiz Signorelli; Octavio Rivera-Romero; Enrique Dorronzoro-Zubiete; Brian Caulfield
Journal:  JMIR Mhealth Uhealth       Date:  2020-09-21       Impact factor: 4.773

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