Abstract: Previous BLS and first-aid learning studies largely rely on traditional face-to-face training or low-fidelity digital approaches, which are often costly, time-consuming, and inaccessible to many learners, especially laypersons. Many serious games focus primarily on awareness and conceptual knowledge, rather than procedural mastery and real-time decision-making. In addition, most existing games lack high-fidelity first-person immersion, provide limited real-time feedback, and are not aligned with localized national medical protocols, reducing their realism and contextual relevance. To address these gaps, this study proposes the development of a 3D game-based learning model using first person interactive simulation, designed to educate users on Basic Life Support (BLS) procedures in cardiac arrest scenarios. Unreal Engine 5.4 was utilized to create an immersive and realistic environment where players engage in critical emergency steps, real-time visual prompts and audio feedback, and decision-making under pressure, rather than passive content delivery. Importantly, it strictly follows the Ministry of Health Malaysia’s BLS guidelines, ensuring procedural accuracy and local relevance. This approach bridges the gap between theoretical knowledge and practical application, while providing a scalable, accessible, and engaging alternative to conventional BLS training. Through this educational serious game, players are empowered to gain confidence and practical understanding of life-saving procedures, ultimately contributing to greater public preparedness in real-world emergencies.

Nur Raidah Rahim, Siti Aisyah Mohd Nasron, Sazilah Salam, Che Ku Nuraini Che Ku Mohd, Wan Mohd Ya’akob Wan Bejuri, Richki Hardi and Nur Sri Syazana Rahim. “A Game-Based Learning Model for Basic Life Support Using First-Person Interactive Simulation”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.12 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0161255

@article{Rahim2025,
title = {A Game-Based Learning Model for Basic Life Support Using First-Person Interactive Simulation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0161255},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0161255},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {12},
author = {Nur Raidah Rahim and Siti Aisyah Mohd Nasron and Sazilah Salam and Che Ku Nuraini Che Ku Mohd and Wan Mohd Ya’akob Wan Bejuri and Richki Hardi and Nur Sri Syazana Rahim}
}