脑电频谱功率的认知相关性反映了人群任务的执行情况

Gregory Bales, Z. Kong
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引用次数: 2

摘要

在本文中,我们研究了机器人群体的几何复杂性是否会影响人类群体目标获取任务的表现,以及这些变化是否反映在平均神经生理和行为特征上。这是首次利用脑电图频谱功率和外部行为的分布来描绘认知过程、行为和任务表现之间更复杂的相互作用的研究之一。我们的研究结果表明,增加机器人组的几何复杂性可以降低48.5%的任务性能。此外,表现的下降伴随着神经测量的增加,这表明更多的内部处理和视觉刺激的抑制。伴随的注视和控制活动的变化强化了这些差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cognitive correlates of EEG spectral power indicate human-swarm task performance
In this paper, we examine whether the geometric complexity of a robotic group affects performance in a human-swarm target acquisition task, and if these changes are reflected in average neurophysiological and behavioral characteristics. This is one of the first studies to utilize both the distribution of EEG spectral power and external behaviors to paint a more complex interaction between cognitive processes, behaviors, and task performance. Our results show that increasing the geometric complexity of the robotic group reduced task performance by 48.5%. Furthermore, the decrease in performance is accompanied by an increase in neurological measures that indicate more internal processing and suppression of visual stimuli. Accompanying changes in gaze and control activity enforce these differences.
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