MED1stMR：增强医疗急救人员培训的混合现实]{ MED1stMR：增强医疗急救人员培训的混合现实
MED1stMR: Mixed Reality to Enhance Training of Medical First Responder]{MED1stMR: Mixed Reality to Enhance the Training of Medical First Responders for Challenging Contexts
摘要：
在全球范围内，人为或自然灾害造成大量人员受伤的大规模伤亡事件正在增加。在这种情况下，医疗急救人员需要进行诊断、基本生命支持或其他急救，以帮助稳定受害者并使他们活着等待进一步支持的到来。对情况的了解和有效应对急性应激源对于使第一反应者能够采取适当行动拯救生命至关重要。虚拟现实（VR）已在多个领域被证明是一种严肃的替代方案，在某些领域也是对传统学习和培训的重大改进。特别是对于MFR培训中的挑战，它对于培训背景不容易获得的实践和学习领域非常有用。VR训练提供了可控的、易于创建的环境，可以在相同的条件下重复创建和训练。作为VR的高级替代方案，混合现实（MR）环境有可能通过提供环境的动态模拟和对受伤受害者的实践来增强当前的VR培训。基于对MR的这种解释，MED 1stMR的主要目的是开发具有触觉反馈的新一代MR训练，以增强真实感。在这份工作坊文件中，我们会介绍计划的远景，并提出问题供讨论。
英文摘要：
Mass-casualty incidents with a large number of injured persons caused by human-made or by natural disasters are increasing globally. In such situations, medical first responders (MFRs) need to perform diagnosis, basic life support, or other first aid to help stabilize victims and keep them alive to wait for the arrival of further support. Situational awareness and effective coping with acute stressors is essential to enable first responders to take appropriate action that saves lives. Virtual Reality (VR) has been demonstrated in several domains to be a serious alternative, and in some areas also a significant improvement to conventional learning and training. Especially for the challenges in the training of MFRs, it can be highly useful for practicing and learning domains where the context of the training is not easily available. VR training offers controlled, easy-to-create environments that can be created and trained repeatedly under the same conditions. As an advanced alternative to VR, Mixed Reality (MR) environments have the potential to augment current VR training by providing a dynamic simulation of an environment and hands-on practice on injured victims. Building on this interpretation of MR, the main aim of MED1stMR is to develop a new generation of MR training with haptic feedback for enhanced realism. in this workshop paper, we will present the vision of the project and suggest questions for discussion.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
