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

被引:48
作者
Monteiro-Guerra, Francisco [1 ,2 ]
Rivera-Romero, Octavio [3 ]
Fernandez-Luque, Luis [4 ]
Caulfield, Brian [2 ]
机构
[1] Salumedia Tecnol, Seville 41011, Spain
[2] Univ Coll Dublin, Insight Ctr Data Analyt, Dublin 4, Ireland
[3] Univ Seville, Seville 41004, Spain
[4] Qatar Comp Res Inst, Doha, Qatar
关键词
Real-time systems; Sensors; Data mining; Sociology; Statistics; Biomedical measurement; Databases; Mobile applications; mobile health; personalization; physical activity; persuasive technology; scoping review; tailoring; BEHAVIOR; INTERVENTION; TECHNOLOGY; GAMIFICATION; MOTIVATION; TAXONOMY; FEEDBACK; SMOKING; SUPPORT; APPS;
D O I
10.1109/JBHI.2019.2947243
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:1738 / 1751
页数:14
相关论文
共 50 条
[1]   Tailoring real-time physical activity coaching systems: a literature survey and model [J].
op den Akker, Harm ;
Jones, Valerie M. ;
Hermens, Hermie J. .
USER MODELING AND USER-ADAPTED INTERACTION, 2014, 24 (05) :351-392
[2]   Tailoring real-time physical activity coaching systems: a literature survey and model [J].
Harm op den Akker ;
Valerie M. Jones ;
Hermie J. Hermens .
User Modeling and User-Adapted Interaction, 2014, 24 :351-392
[3]   Advancing Physical Activity Research Methods Using Real-Time and Adaptive Technology: A Scoping Review of "No-Code" Mobile Health App Research Tools [J].
Willms, Amanda ;
Rush, Jonathan ;
Hofer, Scott ;
Rhodes, Ryan E. ;
Liu, Sam .
SPORT EXERCISE AND PERFORMANCE PSYCHOLOGY, 2025, 14 (01) :250-267
[4]   Devices for Self-Monitoring Sedentary Time or Physical Activity: A Scoping Review [J].
Sanders, James P. ;
Loveday, Adam ;
Pearson, Natalie ;
Edwardson, Charlotte ;
Yates, Thomas ;
Biddle, Stuart J. H. ;
Esliger, Dale W. .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2016, 18 (05)
[5]   Using Mobile Applications to Increase Physical Activity: A Systematic Review [J].
Pradal-Cano, Laura ;
Lozano-Ruiz, Carolina ;
Juan Pereyra-Rodriguez, Jose ;
Saigi-Rubio, Francesc ;
Bach-Faig, Anna ;
Esquius, Laura ;
Medina, F. Xavier ;
Aguilar-Martinez, Alicia .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2020, 17 (21) :1-16
[6]   Tailored motivational message generation: A model and practical framework for real-time physical activity coaching [J].
den Akker, Harm Op ;
Cabrita, Miriam ;
den Akker, Rieks Op ;
Jones, Valerie M. ;
Hermens, Hermie J. .
JOURNAL OF BIOMEDICAL INFORMATICS, 2015, 55 :104-115
[7]   Factors influencing user's adherence to physical activity applications: A scoping literature review and future directions [J].
Yang, Xiaotian ;
Ma, Lin ;
Zhao, Xi ;
Kankanhalli, Atreyi .
INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, 2020, 134
[8]   Augmented Reality in Real-time Telemedicine and Telementoring: Scoping Review [J].
Dinh, Alana ;
Yin, Andrew Lukas ;
Estrin, Deborah ;
Greenwald, Peter ;
Fortenko, Alexander .
JMIR MHEALTH AND UHEALTH, 2023, 11
[9]   How do mobile health applications support behaviour changes? A scoping review of mobile health applications relating to physical activity and eating behaviours [J].
Aromatario, O. ;
Van Hoye, A. ;
Vuillemin, A. ;
Foucaut, A. -M. ;
Crozet, C. ;
Pommier, J. ;
Cambon, L. .
PUBLIC HEALTH, 2019, 175 :8-18
[10]   The effect of real-time monitoring of physical activity intensity in diabetic patients [J].
Tanaka, Rumi ;
Fujita, Kimie ;
Maeno, Satoko ;
Yakushiji, Kanako ;
Tanaka, Satomi ;
Ohnaka, Keizo ;
Ashida, Kenji ;
Sakamoto, Shohei ;
Nomura, Masatoshi .
JAPAN JOURNAL OF NURSING SCIENCE, 2022, 19 (01)