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

Exergames, Active Games and Gamification of Physical Activity (140) Games and Gamification for Health (486) Innovations and Technology for Physical Activity Education (538) Game Design and Efficacy of Game Elements (66)

Published on in Vol 8 , No 4 (2020) :Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19968, first published .
Effects of a Personalized Fitness Recommender System Using Gamification and Continuous Player Modeling: System Design and Long-Term Validation Study

Effects of a Personalized Fitness Recommender System Using Gamification and Continuous Player Modeling: System Design and Long-Term Validation Study

Effects of a Personalized Fitness Recommender System Using Gamification and Continuous Player Modeling: System Design and Long-Term Validation Study

Authors of this article:

Zhao Zhao 1 Author Orcid Image ;   Ali Arya 2 Author Orcid Image ;   Rita Orji 3 Author Orcid Image ;   Gerry Chan 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (13) Metrics

Journals

  1. Carlier S, Naessens V, De Backere F, De Turck F. A Software Engineering Framework for Reusable Design of Personalized Serious Games for Health: Development Study. JMIR Serious Games 2023;11:e40054 View
  2. Islam M, Lee S, Harden S, Lim S. Effects of vibrotactile feedback on yoga practice. Frontiers in Sports and Active Living 2022;4 View
  3. Zappatore M, Longo A, Martella A, Di Martino B, Esposito A, Gracco S. Semantic models for IoT sensing to infer environment–wellness relationships. Future Generation Computer Systems 2023;140:1 View
  4. Sun Y, Zhou J, Ji M, Pei L, Wang Z. Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping. Journal of Medical Internet Research 2023;25:e38184 View
  5. Islas-Cota E, Gutierrez-Garcia J, Acosta C, Rodríguez L. A systematic review of intelligent assistants. Future Generation Computer Systems 2022;128:45 View
  6. Xu L, Shi H, Shen M, Ni Y, Zhang X, Pang Y, Yu T, Lian X, Yu T, Yang X, Li F. The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review. JMIR mHealth and uHealth 2022;10(2):e27794 View
  7. Liu X, Gao B, Suleiman B, You H, Ma Z, Liu Y, Anaissi A. Privacy-Preserving Personalized Fitness Recommender System ( P 3 FitRec ) : A Multi-level Deep Learning Approach. ACM Transactions on Knowledge Discovery from Data 2023 View
  8. Izountar Y, Benbelkacem S, Otmane S, Khababa A, Masmoudi M, Zenati N. VR-PEER: A Personalized Exer-Game Platform Based on Emotion Recognition. Electronics 2022;11(3):455 View
  9. Venkatachalam P, Ray S. How do context-aware artificial intelligence algorithms used in fitness recommender systems? A literature review and research agenda. International Journal of Information Management Data Insights 2022;2(2):100139 View
  10. Chaudhari S, Ghanvatkar S, Kankanhalli A. Personalization of Intervention Timing for Physical Activity: Scoping Review. JMIR mHealth and uHealth 2022;10(2):e31327 View

Books/Policy Documents

  1. Ulmer T, Baldauf M. Human-Computer Interaction. User Experience and Behavior. View
  2. Torres-Toukoumidis A, Vintimilla-León D, De-Santis A, Cárdenas-Tapia J, Mäeots M. Communication and Applied Technologies. View