Technical Report: Comparative Evaluation of AR-based, VR-based, and Traditional Basic Life Support Training
Enes Yigitbas, Sebastian Krois, Timo Renzelmann, Gregor Engels

TL;DR
This paper introduces a comprehensive AR and VR-based BLS training system that aligns with medical guidelines and includes automated assessment, showing improved engagement and resuscitation quality over traditional methods.
Contribution
The paper presents a novel AR/VR training environment with integrated automated assessment and real-time feedback, enhancing BLS training effectiveness and compliance with guidelines.
Findings
AR/VR training increases user engagement.
Improves quality of resuscitation.
Reduces cognitive workload.
Abstract
Basic life support (BLS) is crucial in the emergency response system as sudden cardiac arrest is still a major cause of death worldwide. In the majority of cases, cardiac arrest is witnessed out-of-hospital where execution of BLS including resuscitation through by-standers gets indispensable. However, survival rates of cardiac arrest victims could majorly increase if BLS skills would be trained regularly. In this context, technology-enhanced BLS training approaches utilizing augmented (AR) and virtual reality (VR) have been proposed in recent works. However, these approaches are not compliant with the medical BLS guidelines or focus only on specific steps of BLS training such as resuscitation. Furthermore, most of the existing training approaches do not focus on automated assessment to enhance efficiency and effectiveness through fine-grained real-time feedback. To overcome these…
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Taxonomy
TopicsCardiac Arrest and Resuscitation · Simulation-Based Education in Healthcare · Traumatic Brain Injury and Neurovascular Disturbances
