VR-Based Evaluation and Training System for Emergency Responders and Managers

虚拟和增强现实(VR/AR)系统正越来越多地被用作培训 用于复杂、要求极高或很少执行的任务的平台。通常，VR系统关注的是 主要是在没有任何能力的情况下为培训目的提供越来越现实的场景 评估或改进实习生在现场的表现。我们的新型VR培训平台可提供危险物质 培训不仅提供现实的场景，而且还使用 对与个人和团队相关的变量进行科学验证的测量 性能。我们的方法的优点是使急救人员沉浸在危险物质中 现实的紧急情况，也是为测量和改进而设计的 具体的表现领域。影响应急人员绩效的关键因素 通过对文献的广泛查阅和随后的测试确定了经理的身份 对三百多名急救人员进行心理测评。的子集 然后，通过对调查结果的统计分析，确定了18个高度相关的贡献者。 这些贡献者可以在VR培训场景元素中得到可衡量的表示。性能 然后，可以对个人或团队受训人员进行测量和评估。这些精致的 然后，关键贡献者可以在更大、更多样化的紧急响应人员样本中得到验证 使用我们建议的基于VR的系统的测试版。我们的VR系统也是可配置的 支持评估和培训不同角色所需的各种技能的平台 (警察、消防员、急救人员等)在不同的情况下，如生物安全泄漏、危险物质灾难 和生物恐怖主义威胁。此外，制造罕见或非常困难/昂贵的危险物质灾难 现实世界中的训练活动可以更容易、更具成本效益地掌握。场景也可以是 由教练员实时输入或由计算机化人工智能动态调整 分析学员的表现和实时生理测量，以快速优化具体 个人和团队的关键贡献者表现。快速、高效、有效地培训 应急响应人员的最终目标是将潜在的灾难性后果降至最低 在这些事件中。

Virtual and Augmented Reality (VR/AR) systems are increasingly being utilized as training platforms for complex, extremely demanding or rarely executed tasks. Often, VR systems focus primarily on delivering increasingly realistic scenarios for training purposes without any capability to assess or refine trainee performance in situ. Our novel VR training platform to deliver HAZMAT training not only delivers realistic scenarios, but also measures and evaluates performance using scientifically validated measures of variables associated with both individual and team performance. The advantage of our approach is to immerse first responders in HAZMAT emergency scenarios that are realistic and also designed to focus on measurement and refinement of specific areas of performance. Key contributors to performance among emergency responders and managers were identified by an extensive review of the literature and subsequent tested for association by psychometric assessment of over three hundred emergency responders. A subset of 18 highly associated contributors were then identified through statistical analysis of survey results. These contributors can be measurably represented in VR Training scenario elements. Performance related to each can then be measured and assessed for individual or team trainees. These refined key contributors can then be validated on larger, more diverse samples of emergency responders using the beta version of our proposed VR-based system. Our VR system is also a configurable platform that enables the evaluation and training of a wide range of skills needed by distinct roles (police, firefighters, EMTs, etc.) in diverse scenarios such as biosafety spills, HAZMAT disasters and bioterrorism threats. Also, HAZMAT disasters that are rare or very difficult/costly to create real world training events can be more easily and cost effectively mastered. Scenarios also can be dynamically modulated by trainer input in real-time, or by computerized Artificial Intelligence analysis of performance and trainee real-time physiological measures to rapidly optimize specific key contributor performance of individuals and teams. Rapid, efficient and effective training of emergency responders serves the ultimate goal of minimizing potential catastrophic consequences of these events.