GameFit: An AI-Powered Gamification for Enhancing User Retention in Mobile Fitness Applications
Document Type
Conference Proceeding
Source of Publication
Lecture Notes in Networks and Systems
Publication Date
6-4-2026
Abstract
Fitness application user retention is difficult due to monotony, a lack of personalization, and motivational factors. Lack of motivation and boredom have been identified in research to be major reasons why users abandon applications. This research applies Artificial Intelligence (AI) and gamification, which is based upon self-determination theory (SDT) with autonomy, competence, and relatedness to increase intrinsic motivation levels. In this study we propose, “GameFit,” which integrates AI with gamification aspects: (1) Personalized fitness and nutrition advice provided with the aid of AI using large language models (LLM); (2) Character evolution graphs showing visual rewards; and (3) Leaderboards with rewards marketplaces. Initial testing of GameFit was conducted involving 50 participants. Results revealed that 78% desired more fun exercise using gamification, 71% preferred AI to personalize, and 64% preferred rewards such as coupons or discounts.
DOI Link
ISBN
[9783032238825]
ISSN
Publisher
Springer Nature Switzerland
Volume
1942 LNNS
First Page
148
Last Page
160
Disciplines
Computer Sciences
Keywords
AI Coaching, Behavior Change Techniques, Gamification, Mobile Fitness Apps, Self-Determination Theory, User Retention
Scopus ID
Recommended Citation
Al-Rajab, Murad; Loucif, Samia; Yalkapov, Muhammet; Ishnazarov, Ayyub Akbar Ugli; and Odeh, Suhail, "GameFit: An AI-Powered Gamification for Enhancing User Retention in Mobile Fitness Applications" (2026). All Works. 8032.
https://zuscholars.zu.ac.ae/works/8032
Indexed in Scopus
yes
Open Access
no