自适应自动化理论的C2应用

E. D. de Visser, Melanie LeGoullon, D. Horvath, G. Weltman, A. Freedy, P. Durlach, R. Parasuraman
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引用次数: 7

摘要

本文描述了一个原型自适应自动化系统的设计和初步积极评估,以创建一个增强的指挥和控制(C2)基础设施,使无人驾驶车辆更有效地运行。1,2我们的主要项目目标是应用认知工程和显示自动化的最新进展来创建小型机器人资产(TECRA)的增强指挥和控制技术。最初的目标是为小型无人飞行器(suav)增强C2系统。我们的方法是使用自适应显示技术来改善无人机指挥官和无人机操作员之间的共享态势感知,为指挥官和操作员之间的通信提供新的渠道,并减少指挥官的工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
TECRA: C2 application of adaptive automation theory
This paper describes the design and initial positive evaluation of a prototype adaptive automation system to create an enhanced command and control (C2) infrastructure for more effective operation of unmanned vehicles.1,2 Our main project objective is to apply recent advances in cognitive engineering and display automation to create Technology for Enhanced Command and Control of Small Robotic Assets (TECRA). The initial goal is an enhanced C2 system for small unmanned aircraft vehicles (SUAVs). Our approach is to use adaptive display technology to improve shared situation awareness between the SUAV Commander and the SUAV Operator, to provide new channels of Commander-Operator communication, and to reduce Commander workload.
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