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A BRAIN-BASED ADAPTIVE AUTOMATION SYSTEM AND SITUATION AWARENESS: THE ROLE OF COMPLACENCY POTENTIAL

机译:基于脑的自适应自动化系统和情境感知:互补潜力的作用

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The present study assessed situation awareness with individuals who differed in automation complacency potential using a brain-based adaptive automation system. All participants were administered a measure of complacency potential and performed a suite of tasks while monitoring several displays. A biocybernetic system was used to switch tasks between automatic and manual modes. For half of the participants, a psychophysiological index of engagement derived from their own EEG signals was used to control the task mode switches. The remaining Participants operated under a pattern of task mode switches that were not derived from their EEG signals, but instead from records created by the participants in the other group. The results indicated that those individuals predisposed toward automation complacency demonstrated lower levels of situation awareness. Further, the lowest levels of situation awareness were observed for those participants predisposed toward automation complacency operating under a pattern of task mode switches generated by the other group. These findings suggest that adaptive automation may have the potential to reduce the effects of complacency by increasing available attentional capacity and in turn, improving situation awareness.
机译:本研究使用基于大脑的自适应自动化系统,评估了在自动化自满能力方面有所不同的个人的情况意识。所有参与者都获得了一定程度的自满情绪衡量,并在监视多个显示器的同时执行了一系列任务。使用生物计算机控制系统在自动和手动模式之间切换任务。对于一半的参与者,使用从他们自己的EEG信号中得出的参与心理生理指标来控制任务模式切换。其余参与者以任务模式切换的模式进行操作,这些任务不是从其EEG信号中得出,而是从另一组中的参与者创建的记录中得出。结果表明,那些倾向于自动化自满的人表现出较低的态势感知能力。此外,对于那些倾向于在其他小组生成的任务模式切换模式下进行自动化自满操作的参与者而言,观察到的情况意识水平最低。这些发现表明,自适应自动化可能会通过增加可用的注意能力并进而改善态势感知来降低自满情绪的潜力。

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