Improving Augmented Reality Serious Games for Cognitive Rehabilitation Using ID3 Decision Tree Algorithm

Bakre, Farouk, Awais, Muhammad, Raza, Mohsin, Khan, Umar and Amin, Hafeezullah (2025) Improving Augmented Reality Serious Games for Cognitive Rehabilitation Using ID3 Decision Tree Algorithm. In: 2025 5th International Conference on Digital Futures and Transformative Technologies (ICoDT2). The Institute of Electrical and Electronics Engineers (IEEE). ISBN 979-8-3315-5964-9

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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.

Item Type:	Book Section
Uncontrolled Keywords:	ar,serious games,cognitive rehabilitation,decision tree
Faculty \ School:	Faculty of Science > School of Computing Sciences
UEA Research Groups:	Faculty of Science > Research Groups > Data Science and AI Faculty of Science > Research Groups > Health Computing Faculty of Science > Research Groups > Cyber Intelligence and Networks
Depositing User:	LivePure Connector
Date Deposited:	11 Feb 2026 11:30
Last Modified:	15 Feb 2026 07:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/101911
DOI:	10.1109/ICoDT269104.2025.11360726

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