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

Exergames, Active Games and Gamification of Physical Activity (167) Games and Gamification for Health (604) Innovations and Technology for Physical Activity Education (695) Game Design and Efficacy of Game Elements (81)

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 Zhao1 Author Orcid Image ;   Ali Arya2 Author Orcid Image ;   Rita Orji3 Author Orcid Image ;   Gerry Chan2 Author Orcid Image
Article Authors Cited by (26) Tweetations (10) 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;17(6):1 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
  11. Cavallo F, Toumazou C, Li-Jessen N. Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data. PLOS Digital Health 2023;2(8):e0000333 View
  12. Chan G, Arya A, Orji R, Zhao Z, Whitehead A. Increasing motivation in social exercise games: personalising gamification elements to player type. Behaviour & Information Technology 2023:1 View
  13. Rehman U, Abbasi A, Ting D, Hassan M, Khair N. Exploring the Impact of Gamified Experiences on User Engagement in Fitness Apps: A GAMEFULQUEST Perspective. IEEE Transactions on Engineering Management 2024;71:3613 View
  14. Chan G, Nwagu C, Odenigbo I, Alslaity A, Orji R. The Shape of Mobile Health: A Systematic Review of Health Visualization on Mobile Devices. International Journal of Human–Computer Interaction 2024:1 View
  15. Felfernig A, Wundara M, Tran T, Le V, Lubos S, Polat-Erdeniz S. Sports recommender systems: overview and research directions. Journal of Intelligent Information Systems 2024 View
  16. Kirchner-Krath J, Altmeyer M, Schürmann L, Kordyaka B, Morschheuser B, Klock A, Nacke L, Hamari J, von Korflesch H. Uncovering the theoretical basis of user types: An empirical analysis and critical discussion of user typologies in research on tailored gameful design. International Journal of Human-Computer Studies 2024;190:103314 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
  3. Chan G, Alslaity A, Reen J, Anukem S, Orji R. Persuasive Technology. View
  4. Dalponte Ayastuy M, Fernández A, Torres D. HCI in Games. View
  5. Lurz M, Prommegger B, Böhm M, Krcmar H. Human-Computer Interaction. View
  6. Alslaity A, Oyebode O, Vassileva J, Orji R. A Human-Centered Perspective of Intelligent Personalized Environments and Systems. View
  7. Huang L, Deng C, Hoffman J, Hadi Mogavi R, Kim J, Hui P. HCI in Games. View