@inproceedings{10d6c3503aca4787beaa744203196e6c,
title = "Improving Augmented Reality Serious Games for Cognitive Rehabilitation Using ID3 Decision Tree Algorithm",
abstract = "Background: Cognitive decline is a major challenge for aging adults. Serious games and augmented reality (AR) offer engaging approaches to cognitive rehabilitation, but existing approaches lack personalization.Method: This study applies the ID3 decision-tree algorithm to personalize AR serious games by adjusting difficulty levels based on user age, education and prior performance. A pilot study with 12 participants is conducted in this research, which compared personalized AR games against non-personalized AR training.Results: Both groups showed improvements after training, but the personalized AR group showed greater gains in cognitive speed and attention as measured by the Trail Making Test (TMT).Conclusion: Personalized AR serious games demonstrate potential for enhancing cognitive rehabilitation. Future work should involve larger trials, longer study periods and inclusion of additional user-specific factors to improve accuracy and effectiveness.",
keywords = "Training, Accuracy, Atmospheric measurements, Gain measurement, Aging, Particle measurements, Serious games, Decision trees, Augmented reality, Decision Tree, AR, Cognitive Rehabilitation, Serious Games",
author = "Farouk Bakre and Muhammad Awais and Mohsin Raza and Umar Khan and Hafeezullah Amin",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 5th International Conference on Digital Futures and Transformative Technologies (ICoDT2) ; Conference date: 17-12-2025 Through 18-12-2025",
year = "2025",
month = dec,
day = "17",
doi = "10.1109/icodt269104.2025.11360726",
language = "English",
isbn = "979-8-3315-5964-9",
series = "2025 5th International Conference on Digital Futures and Transformative Technologies (ICoDT2)",
publisher = "IEEE",
pages = "1--6",
booktitle = "2025 5th International Conference on Digital Futures and Transformative Technologies (ICoDT2)",
}