FW-HTF-P: Augmenting First Responders' Cognitive Performance for Responses to Electric Vehicle Emergencies

电动汽车（ev）的广泛采用为社会带来了巨大的好处，包括更清洁的环境、更低的运行成本、减少噪音污染和减少碳排放。然而，电动汽车的采用也给现有的民用基础设施体系带来了挑战。例如，与使用传统内燃机的车辆相比，电动汽车的火灾燃烧得更热、时间更长，并且需要更多的资源来扑灭。第一响应者目前的工作标准、培训协议和与电动汽车紧急情况相关的培训方法是危险的过时的。在该项目开发奖中，一个由研究人员和多个公共机构合作伙伴组成的跨学科团队将定义并测试一个沉浸式和直观的培训平台的可行性，该平台将在应对电动汽车相关火灾时增强急救人员的决策能力。从这项研究中产生的知识将为第一响应者社区提供有价值的信息，并帮助电动汽车制造商设计“响应者友好”的电动汽车系统。这项人类技术前沿（FW-HTF）规划研究项目的目标是测试沉浸式培训平台框架用于未来电动汽车相关应急响应的可行性。主要目标有三个：1)开展全国性调查，然后召开焦点小组会议，了解现有的电动汽车相关应急工作流程；2)设计开发增强急救人员认知能力的沉浸式培训平台框架；3)与研究人员和其他利益相关者分享初步研究结果，以测试拟议培训框架的可行性，并为未来的工作制定详细的路线图。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The wide adoption of electric vehicles (EVs) provides significant benefits to society, including a cleaner environment, lower running costs, reduced noise pollution, and reduced carbon emissions. However, the adoption of EVs also brings challenges to the existing civil infrastructure system. For example, EV fires burn hotter, longer, and take more resources to extinguish than fires involving vehicles with traditional combustion engines. The first responders’ current work standards, training protocols, and training methods related to EV emergencies are dangerously outdated. In this project development award, an interdisciplinary team of researchers and multiple public agency partners will define and test the feasibility of an immersive and intuitive training platform that would augment first responders’ decision making when responding to EV-related fires. The knowledge generated from this study will provide valuable information to the first responder communities and help EV automakers design “responder friendly” EV systems. The objective of this Future of Work at the Human-Technology Frontier (FW-HTF) planning research project is to test the feasibility of the immersive training platform’s framework for future EV-related emergency responses. There are three major objectives: 1) To conduct a nationwide survey followed by focus group meetings to understand existing EV-related emergency response workflows; 2) To design and develop the framework of the immersive training platform that can augment first responders’ cognitive performance; and 3) To share the initial findings with researchers and other stakeholders to test the viability of the proposed training framework and formulate a detailed roadmap for future work.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.