Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review
<p dir="ltr">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...
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2019
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| _version_ | 1864513561180504064 |
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| author | Francisco Monteiro-Guerra (16864122) |
| author2 | Octavio Rivera-Romero (16864125) Luis Fernandez-Luque (3572423) Brian Caulfield (7179962) |
| author2_role | author author author |
| author_facet | Francisco Monteiro-Guerra (16864122) Octavio Rivera-Romero (16864125) Luis Fernandez-Luque (3572423) Brian Caulfield (7179962) |
| author_role | author |
| dc.creator.none.fl_str_mv | Francisco Monteiro-Guerra (16864122) Octavio Rivera-Romero (16864125) Luis Fernandez-Luque (3572423) Brian Caulfield (7179962) |
| dc.date.none.fl_str_mv | 2019-11-19T00:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1109/jbhi.2019.2947243 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Personalization_in_Real-Time_Physical_Activity_Coaching_Using_Mobile_Applications_A_Scoping_Review/24006399 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Health sciences Health services and systems Information and computing sciences Data management and data science Distributed computing and systems software Machine learning Real-time systems Sensors Data mining Sociology Statistics Biomedical measurement Databases Algorithms Exercise Health Promotion Humans Mentoring Mobile Applications Telemedicine |
| dc.title.none.fl_str_mv | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Journal of Biomedical and Health Informatics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jbhi.2019.2947243" target="_blank">https://dx.doi.org/10.1109/jbhi.2019.2947243</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_498b43d026d9e752ef4f06fa5040bf09 |
| identifier_str_mv | 10.1109/jbhi.2019.2947243 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24006399 |
| publishDate | 2019 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping ReviewFrancisco Monteiro-Guerra (16864122)Octavio Rivera-Romero (16864125)Luis Fernandez-Luque (3572423)Brian Caulfield (7179962)Health sciencesHealth services and systemsInformation and computing sciencesData management and data scienceDistributed computing and systems softwareMachine learningReal-time systemsSensorsData miningSociologyStatisticsBiomedical measurementDatabasesAlgorithmsExerciseHealth PromotionHumansMentoringMobile ApplicationsTelemedicine<p dir="ltr">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.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Journal of Biomedical and Health Informatics<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/jbhi.2019.2947243" target="_blank">https://dx.doi.org/10.1109/jbhi.2019.2947243</a></p>2019-11-19T00:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/jbhi.2019.2947243https://figshare.com/articles/journal_contribution/Personalization_in_Real-Time_Physical_Activity_Coaching_Using_Mobile_Applications_A_Scoping_Review/24006399CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/240063992019-11-19T00:00:00Z |
| spellingShingle | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review Francisco Monteiro-Guerra (16864122) Health sciences Health services and systems Information and computing sciences Data management and data science Distributed computing and systems software Machine learning Real-time systems Sensors Data mining Sociology Statistics Biomedical measurement Databases Algorithms Exercise Health Promotion Humans Mentoring Mobile Applications Telemedicine |
| status_str | publishedVersion |
| title | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| title_full | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| title_fullStr | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| title_full_unstemmed | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| title_short | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| title_sort | Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review |
| topic | Health sciences Health services and systems Information and computing sciences Data management and data science Distributed computing and systems software Machine learning Real-time systems Sensors Data mining Sociology Statistics Biomedical measurement Databases Algorithms Exercise Health Promotion Humans Mentoring Mobile Applications Telemedicine |