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Dynamic 3D Visual Analytic Tools: A Method for Maintaining Situational Awareness during High Tempo Warfare or Mass Casualty Operations

机译:动态3D视觉分析工具:一种在高速战斗或大规模伤亡行动中维持态势感知的方法

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Maintaining Situational Awareness (SA) is crucial to the success of high tempo operations, such as war fighting and mass casualty events (bioterrorism, natural disasters). Modern computer and software applications attempt to provide command and control manager's situational awareness via the collection, integration, interrogation and display of vast amounts of analytic data in real-time from a multitude of data sources and formats [1]. At what point does the data volume and displays begin to erode the hierarchical distributive intelligence, command and control structure of the operation taking place? In many cases, people tasked with making decisions, have insufficient experience in SA of high tempo operations and become overwhelmed easily as vast amounts of data begin to be displayed in real-time as an operation unfolds. In these situations, where data is plentiful and the relevance of the data changes rapidly, there is a chance for individuals to target fixate on those data sources they are most familiar. If these individuals fall into this type of pitfall, they will exclude other data that might be just as important to the success of the operation. To counter these issues, it is important that the computer and software applications provide a means for prompting its users to take notice of adverse conditions or trends that are critical to the operation. This paper will discuss a new method of displaying data called a Crisis View?, that monitors critical variables that are dynamically changing and allows preset thresholds to be created to prompt the user when decisions need to be made and when adverse or positive trends are detected. The new method will be explained in basic terms, with examples of its attributes and how it can be implemented.
机译:维持态势感知(SA)对于诸如战斗和大规模伤亡事件(生物恐怖主义,自然灾害)之类的快速行动的成功至关重要。现代计算机和软件应用程序试图通过从多种数据源和格式中实时收集,集成,询问和显示大量分析数据来提供命令和控制管理员的态势感知[1]。数据量和显示在什么时候开始侵蚀发生的操作的分层分布智能,命令和控制结构?在许多情况下,负责决策的人们,对快速节奏的SA缺乏足够的经验,并且随着操作的开展,开始实时实时显示大量数据,这些人很容易被淹没。在这些情况下,数据丰富且数据的相关性迅速变化,个人就有机会将注意力集中在他们最熟悉的那些数据源上。如果这些人陷入这种陷阱,他们将排除可能对手术成功同样重要的其他数据。为了解决这些问题,重要的是计算机和软件应用程序应提供一种方法来提示其用户注意对操作至关重要的不利条件或趋势。本文将讨论一种称为“危机视图”的显示数据的新方法,该方法监视动态变化的关键变量,并允许创建预设阈值以提示用户何时需要做出决策以及何时检测到不利或积极趋势。将用基本术语解释新方法,并举例说明其属性以及如何实现。

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