Comparative Evaluation of AR-based, VR-based, and Traditional Basic Life Support Training

Enes Yigitbas, S. Krois, Timo Renzelmann, Gregor Engels
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引用次数: 1

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 becomes indispensable. However, survival rates of cardiac arrest victims could significantly increase if people were more familiar with the BLS process. In this context, technology-enhanced BLS training approaches utilizing Augmented (AR) and Virtual Reality (VR) have been proposed in recent works. However, most of 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 training effectiveness through fine-grained real-time feedback. To overcome these issues, we present a novel AR- and VR-based training environment which supports a comprehensive BLS training compliant with the medical guidelines. Our training environment combines AR-NR-based BLS training with an interactive haptic manikin that supports automated assessment, real-time feedback, and debriefing in an integrated environment. We have conducted a usability evaluation where we analyze the training effectiveness and cognitive workload of BLS training based on our AR and VR environment against traditional BLS training. Results of the evaluation indicate that AR and VR technology have the potential to increase engagement in BLS training and reduce the cognitive workload compared to traditional training.
基于ar、vr和传统基础生命维持训练的比较评价
由于心脏骤停仍然是世界范围内死亡的主要原因之一,基本生命支持(BLS)在应急响应系统中至关重要。在大多数情况下,心脏骤停发生在院外,此时执行BLS(包括通过旁观者进行复苏)是必不可少的。然而,如果人们更熟悉BLS程序,心脏骤停患者的存活率可能会显著提高。在此背景下,最近的工作中提出了利用增强(AR)和虚拟现实(VR)的技术增强的BLS培训方法。然而,这些方法大多不符合医疗BLS指南,或者只关注BLS培训的具体步骤,如复苏。此外,大多数现有的培训方法没有通过细粒度的实时反馈来关注自动化评估以提高培训效果。为了克服这些问题,我们提出了一种新的基于AR和vr的培训环境,该环境支持符合医疗指南的全面BLS培训。我们的培训环境将基于ar - nr的BLS培训与交互式触觉模型相结合,该模型支持集成环境中的自动评估、实时反馈和汇报。我们进行了可用性评估,分析了基于AR和VR环境的劳工统计局培训与传统劳工统计局培训的培训效果和认知工作量。评估结果表明,与传统培训相比,AR和VR技术具有提高劳工统计局培训参与度和减少认知工作量的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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