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Simulating situational awareness with User-Defined Operating Picture (UDOP) devices using rules

机译:使用规则模拟用户定义的操作图片(UDOP)设备的情境感知

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The Network-Centric Warfare paradigm provides Ground Soldiers in the U.S. Army with large amounts of information needed to maintain situational awareness and perform successfully in the field. Current information interfaces lack a targeted operational focus and provide a broad superset of data, which results in Ground Soldiers becoming overloaded by extraneous or non-critical information. To address this issue, the U.S. Army is developing User-Defined Operational Picture (UDOP) technology that manages incoming information to maximize Soldier effectiveness. However, many simulation-based analysis tools do not currently provide a means of modeling UDOPs and their effect on Soldier performance, and new modeling and simulation technologies are needed to address this gap. This work presents a method for modeling and simulation of simulated Soldier situational awareness in a constructive simulation based on simulated UDOP capability and known limits of human information processing. We present the modeling of UDOP capability and Soldier decision making through rules, and discuss the advantages and disadvantages of this approach, including verification and validation, computational performance, transition to operational UDOP devices, and ease of modeling.
机译:以网络为中心的战争范式为美国军队提供的地面士兵,需要大量的信息来维持态势意识并在现场成功执行。当前信息界面缺乏有针对性的操作焦点并提供广泛的数据超集,这导致地面士兵因无关或非关键信息而变得过载。为了解决这个问题,美国军队正在开发用户定义的操作图片(UDOP)技术,管理传入信息以最大化士兵效率。然而,许多基于仿真的分析工具目前没有提供建模UDOPS的手段及其对士兵性能的影响,并且需要新的建模和仿真技术来解决这种差距。该工作提出了一种基于模拟UDOP能力的建设性模拟中模拟士兵情境感知的建模和仿真的方法,以及人类信息处理的已知限制。我们介绍了通过规则的UDOP能力和士兵决策的建模,并讨论了这种方法的优缺点,包括验证和验证,计算性能,转换到运营UDOP设备,以及易于建模。

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