GRIT: A Developmental Study of a Gamified Fitness Application Integrating AI Technologies

Abstract

Physical inactivity has become a major public health concern in modern society. As digital entertainment and mobile technologies continue to encourage a more sedentary lifestyle, many people find it challenging to integrate adequate physical exercise into their busy daily schedules. Over time, physical inactivity has resulted in poor physical health. Addressing such issues calls for innovative approaches to make exercise more enjoyable and accessible. Hence, this study aimed to develop GRIT, a fitness application that integrates AI technologies and is primarily designed to provide personalized recommendations, gamification, progress monitoring, and image processing for pose detection, offering AI-supported features to support home-based fitness activities. The application was developed using the Rapid Application Development (RAD) Model, and its quality was evaluated using the ISO/IEC 25010 software quality model, focusing on functionality, performance, compatibility, usability, dependability, and maintainability. Functionality scored the highest. The application has these key functionalities: gamification elements, such as points, levels, badges, streaks, daily goals, and progress bars; personalized recommendation that tailors fitness activities to individual preferences, body data, and progress history, ensuring; progress tracking that monitors steps, muscle level, and other health metrics; and authentication requirement to ensure secure login and cloud synchronization. The results of the study confirm GRIT's potential as a high-quality, innovative fitness tool. Overall, this study contributes to the field of fitness application development by demonstrating how to integrate and evaluate AI-driven personalization, gamification systematically, and pose detection using the ISO/IEC 25010 software quality framework.