Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network Perspective
Neurophysiological and Behavioral Differences in Human-Multiagent Tasks: An EEG Network Perspective
复制标题
人类多智能体任务中的神经生理学和行为差异：脑电图网络视角
DOI：
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发表时间：
2022
期刊：
影响因子：
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通讯作者：
Z. Kong
中科院分区：
文献类型：
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作者：
Gregory Bales;Z. Kong
有效的人类-多智能体团队将把人类的认知技能与多智能体小组的自主能力结合起来，以最大限度地提高任务绩效。然而，要产生无缝融合，需要更好地理解人类的认知状态，因为它对任务环境和代理动态中的不确定性做出反应。这项研究考察了外部行为与通过脑电(EEG)获得的神经生理指标的一致性，以探索人类-多智能体团队任务中认知过程、行为和表现之间的交互作用。我们表明，脑电α(8-12赫兹)和θ(4-8赫兹)频段的变化表明，与估计更复杂的机器人智能体运动状态所需的视觉空间推理相关的认知资源承担了更高的负担。凝视和飞行员输入的互补性行为变化强化了这些结果。此外，表现更好的参与者倾向于通过利用更多的视觉空间推理来更积极地参与任务。最后，我们表明，基于脑电动态网络度量的特征提供了区分与注意过程相关的凝视行为的区别性信息。
Effective human-multiagent teams will incorporate the cognitive skills of the human with the autonomous capabilities of the multiagent group to maximize task performance. However, producing a seamless fusion requires a greater understanding of the human’s cognitive state as it reacts to uncertainties in both the task environment and agent dynamics. This study examines external behaviors in concert with neurophysiological measures acquired via electroencephalography (EEG) to probe the interactions between cognitive processes, behaviors, and performance in a human-multiagent team task. We show that changes in the α (8–12 Hz) and θ (4–8 Hz) bands of EEG indicate a higher burden on the cognitive resources associated with visual-spatial reasoning required to estimate a more complex kinematic state of robotic agents. These results are reinforced by complementary behavioral shifts in gaze and pilot inputs. Additionally, higher-performing participants tend to engage more actively in the task by utilizing greater amounts of visual-spatial reasoning. Finally, we show that features based on EEG dynamic-network-metrics provide discriminative information that distinguishes gaze behaviors associated with the attention process.
影响因子：
24.8
作者：
Sporns O;Betzel RF
通讯作者：
Betzel RF