ArticleJMIR serious games2020
Effects of a Personalized Fitness Recommender System Using Gamification and Continuous Player Modeling: System Design and Long-Term Validation Study.
Article in JMIR serious games, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effects of mHealth-Based Gamification Interventions on Participation in Physical Activity: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Mapping Digital Nudges and Recommender Systems for Obesity Prevention: Scoping Review.Interactive journal of medical research · 2026Review
- Smartwatch-Based Tailored Gamification and User Modeling for Motivating Physical Exercise: Experimental Study With the Maximum Difference Scaling Segmentation Method.JMIR serious games · 2025Article
- Recommender systems use in weight management mHealth interventions: A scoping review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Article
- Basketball self-evaluation matrix: discrepancy between self-confidence and decision-making performance on psychological profiling of players.Frontiers in sports and active living · 2024Article
- Personalised lifestyle recommendations for type 2 diabetes: Design and simulation of a recommender system on UK Biobank Data.PLOS digital health · 2023Article
- A Software Engineering Framework for Reusable Design of Personalized Serious Games for Health: Development Study.JMIR serious games · 2023Article
- Development and Evaluation of Health Recommender Systems: Systematic Scoping Review and Evidence Mapping.Journal of medical Internet research · 2023Article
- A panoramic view of personalization based on individual differences in persuasive and behavior change interventions.Frontiers in artificial intelligence · 2023Review
- Personalization of Intervention Timing for Physical Activity: Scoping Review.JMIR mHealth and uHealth · 2022Article
- Effects of vibrotactile feedback on yoga practice.Frontiers in sports and active living · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGamification and persuasive games are effective tools to motivate behavior change, particularly to promote daily physical activities. On the one hand, studies have suggested that a one-size-fits-all approach does not work well for persuasive game design. On the other hand, player modeling and recommender systems are increasingly used for personalizing content. However, there are few existing studies on how to build comprehensive player models for personalizing gamified systems, recommending daily physical activities, or the long-term effectiveness of such gamified exercise-promoting systems.
objectiveThis paper aims to introduce a gamified, 24/7 fitness assistant system that provides personalized recommendations and generates gamified content targeted at individual users to bridge the aforementioned gaps. This research aims to investigate how to design gamified physical activity interventions to achieve long-term engagement.
methodsWe proposed a comprehensive model for gamified fitness recommender systems that uses detailed and dynamic player modeling and wearable-based tracking to provide personalized game features and activity recommendations. Data were collected from 40 participants (23 men and 17 women) who participated in a long-term investigation on the effectiveness of our recommender system that gradually establishes and updates an individual player model (for each unique user) over a period of 60 days.
resultsOur results showed the feasibility and effectiveness of the proposed system, particularly for generating personalized exercise recommendations using player modeling. There was a statistically significant difference among the 3 groups (full, personalized, and gamified) for overall motivation (F
conclusionsOn the basis of these results and drawing from the gamer modeling literature, we conclude that personalizing recommendations using player modeling and gamification can improve participants' engagement and motivation toward fitness activities over time.
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