An Immersion Practicing and Analyzing System for Amblyopia Recovery using Artificial Intelligence and Machine Learning
Year: 2025
Type: conference-paper
Abstract: This paper presents the design and implementation of an interactive eye-training game system aimed at improving visual acuity in children with amblyopia. The system leverages Unity for game development, Firebase for real-time data storage, and C# for scripting core functionalities. It features three gamified therapeutic activities—Mole Game, Gun Game, and Cup Game—each designed to enhance specific aspects of visual coordination and tracking. A dynamic difficulty adjustment mechanism, powered by player performance metrics, ensures personalized and engaging gameplay. The program also incorporates a comprehensive score management system with real-time UI updates and progress tracking. To validate the system, an experimental study compared adaptive and static difficulty models, highlighting the effectiveness of dynamic scaling in maintaining engagement and accelerating therapeutic outcomes. This research demonstrates the potential of gamified solutions in modern amblyopia therapy, addressing traditional challenges of adherence and motivation.
Authors: Rory Zhang, Ang Li
Institution: California State University, Long Beach
Language: English
Subfield: Developmental and Educational Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4408154317