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Leveraging a Virtual Environment to Prepare for School Shootings

机译:利用虚拟环境为学校拍摄做准备

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Active-shooter incidents within a school setting involve a unique subset of active-shooter events. These events tend to have significant differences in duration and outcome to events that occur in other locations, often being resolved before, or when, first-responders arrive on the scene. The frequency and seriousness of these events inspired the US Department of Homeland Security, Science and Technology Directorate's First Responder's Group (DHS S&T FRG) to leverage ongoing work with the US Army Research Laboratory, Human Research and Engineering Directorate, Advanced Training & Simulation Division (ARL HRED ATSD) to establish a prototype virtual school environment to prepare teachers, administrators and staff on how to respond and work with Law Enforcement (LE) in the event of a school shooting. This virtual platform allows school staff and LE to practice various strategies and even supports analysis into how different security measures within the school environment might change the dynamic of an attack and response. The goal is to train affected groups together in advance of an attack to improve coordination and reduce response time and casualties. This paper illustrates design choices for training school teachers, administrators and other staff in a virtual environment in the event of a school shooting. These choices demonstrate unique development strategies related to controlling Artificial Intelligence (AI) through simple user interfaces, managing crowd behaviors and ultimately will include the ability to apply game engine level rules to different buildings or maps.
机译:学校环境中的主动射击事件涉及主动射击事件的唯一子集。这些事件的持续时间和结果往往与其他位置发生的事件有显着差异,这些事件通常在急救人员到达现场之前或到达现场时得到解决。这些事件的频繁性和严重性激发了美国国土安全部科学技术局急救人员小组(DHS S&T FRG)充分利用与美国陆军研究实验室,人类研究和工程局高级培训和模拟部( ARL HRED ATSD)建立一个虚拟的学校环境原型,为教师,行政人员和工作人员做好准备,以便在发生学校枪击事件时如何应对和与执法部门(LE)进行合作。这个虚拟平台允许学校职员和LE实施各种策略,甚至支持分析学校环境中不同的安全措施如何改变攻击和响应的动态。目的是在袭击发生之前对受影响的群体进行培训,以改善协调并减少响应时间和人员伤亡。本文说明了在学校枪击事件中在虚拟环境中培训学校教师,管理员和其他人员的设计选择。这些选择展示了与通过简单的用户界面控制人工智能(AI),管理人群行为有关的独特开发策略,最终将包括将游戏引擎级别规则应用于不同建筑物或地图的能力。

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