Simulated network effects on tactical operations on decision making

D. Patton, L. Marusich
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引用次数: 3

Abstract

As the U.S. military transitions to networkenabled operations, there is a need for systematic investigation into how human decision-making affects and is affected by the resulting rapid increase in communications and information flow [1]. The challenges associated with Big Data (volume, variety, velocity and veracity) become relevant for Soldier performance at the Mission Command and squad leader levels. Here we explore the relationship between two Big Data variables and human cognitive performance, particularly in the military domain. We conduct two experiments in which we manipulate the amount and rate (volume and velocity) of information presented to participants, and assess the participants' decisionmaking accuracy on different military-relevant tasks. The first experiment focuses on the squad leader and is conducted in ARL's Immersive Cognitive Readiness Simulator (ICoRS), which allows replication of the environment of a squad leader. The second experiment focuses on the role of a company commander and simulates the Mission Command environment. We present preliminary results from both phases of study and discuss future work in which participants in each phase of study interact with each other and cooperate to complete a task.
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模拟网络效应对战术行动决策的影响
随着美军向网络作战过渡,有必要对人类决策如何影响以及如何受由此产生的通信和信息流快速增长的影响进行系统调查。与大数据相关的挑战(数量、种类、速度和准确性)与任务指挥部和班长级别的士兵表现相关。在这里,我们探讨了两个大数据变量与人类认知表现之间的关系,特别是在军事领域。我们进行了两个实验,在这些实验中,我们操纵了提供给参与者的信息的数量和速率(体积和速度),并评估了参与者在不同军事相关任务上的决策准确性。第一个实验集中在班长身上,并在ARL的沉浸式认知准备模拟器(ICoRS)中进行,该模拟器允许复制班长的环境。第二个实验侧重于连长的角色,并模拟任务指挥环境。我们介绍了两个研究阶段的初步结果,并讨论了每个研究阶段的参与者相互作用并合作完成任务的未来工作。
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