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

Farouk Bakre; Muhammad Awais; Mohsin Raza; Umar Khan; Hafeezullah Amin

doi:10.1109/ICoDT269104.2025.11360726

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

Farouk Bakre, Muhammad Awais, Mohsin Raza, Umar Khan, Hafeezullah Amin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	2025 5th International Conference on Digital Futures and Transformative Technologies (ICoDT2)
Publisher	The Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	979-8-3315-5963-2
ISBN (Print)	979-8-3315-5964-9
DOIs	https://doi.org/10.1109/ICoDT269104.2025.11360726
Publication status	Published - 17 Dec 2025

Keywords

AR
serious games
cognitive rehabilitation
decision tree

Access to Document

10.1109/ICoDT269104.2025.11360726Licence: Unspecified

Cite this

Bakre, F., Awais, M., Raza, M., Khan, U., & Amin, H. (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). https://doi.org/10.1109/ICoDT269104.2025.11360726

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keywords = "AR, serious games, cognitive rehabilitation, decision tree",

author = "Farouk Bakre and Muhammad Awais and Mohsin Raza and Umar Khan and Hafeezullah Amin",

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Improving Augmented Reality Serious Games for Cognitive Rehabilitation Using ID3 Decision Tree Algorithm. / Bakre, Farouk; Awais, Muhammad ; Raza, Mohsin et al.
2025 5th International Conference on Digital Futures and Transformative Technologies (ICoDT2). The Institute of Electrical and Electronics Engineers (IEEE), 2025.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - 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.

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