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Operator state estimation for adaptive aiding in uninhabited combat air vehicles.

机译:用于无人作战飞机的自适应辅助的驾驶员状态估计。

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Chris Russell's research, sponsored by the Air Force Research Laboratory Human Effectiveness Directorate, demonstrated significant improvement of mission effectiveness using adaptive automation and the operator's mental workload in Uninhabited Combat Air Vehicle (UCAV) missions. His work is the first example of closing the loop between the human and the machine by using mental workload based on physiological signals from the operator to adapt the system. Implementation of his research is being demonstrated in a variety of applications, including the Uninhabited Combat Air Vehicle control workstation, Tactical Tomahawk Weapons Control System, and the Objective Force Warrior Program.
机译:克里斯·拉塞尔(Chris Russell)的研究是由空军研究实验室人类有效性理事会资助的,该研究表明,在无人战斗飞机(UCAV)任务中使用自适应自动化和操作员的精神工作量,可以显着提高任务效率。他的工作是通过基于来自操作员的生理信号来适应系统的精神工作量来闭合人与机器之间的环路的第一个示例。他的研究的实现已在多种应用中得到了证明,包括无人作战飞机控制工作站,战术战斧武器控制系统和客观部队战士计划。

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