Mind Wandering Influences EEG Signal in Complex Multimodal Environments

Jonas Gouraud, A. Delorme, B. Berberian
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引用次数: 6

Abstract

The phenomenon of mind wandering (MW), as a family of experiences related to internally directed cognition, heavily influences vigilance evolution. In particular, humans in teleoperations monitoring partially automated fleet before assuming manual control whenever necessary may see their attention drift due to internal sources; as such, it could play an important role in the emergence of out-of-the-loop (OOTL) situations and associated performance problems. To follow, quantify, and mitigate this phenomenon, electroencephalogram (EEG) systems already demonstrated robust results. As MW creates an attentional decoupling, both ERPs and brain oscillations are impacted. However, the factors influencing these markers in complex environments are still not fully understood. In this paper, we specifically addressed the possibility of gradual emergence of attentional decoupling and the differences created by the sensory modality used to convey targets. Eighteen participants were asked to (1) supervise an automated drone performing an obstacle avoidance task (visual task) and (2) respond to infrequent beeps as fast as possible (auditory task). We measured event-related potentials and alpha waves through EEG. We also added a 40-Hz amplitude modulated brown noise to evoke steady-state auditory response (ASSR). Reported MW episodes were categorized between task-related and task-unrelated episodes. We found that N1 ERP component elicited by beeps had lower amplitude during task-unrelated MW, whereas P3 component had higher amplitude during task-related MW, compared with other attentional states. Focusing on parieto-occipital regions, alpha-wave activity was higher during task-unrelated MW compared with others. These results support the decoupling hypothesis for task-unrelated MW but not task-related MW, highlighting possible variations in the “depth” of decoupling depending on MW episodes. Finally, we found no influence of attentional states on ASSR amplitude. We discuss possible reasons explaining why. Results underline both the ability of EEG to track and study MW in laboratory tasks mimicking ecological environments, as well as the complex influence of perceptual decoupling on operators' behavior and, in particular, EEG measures.
复杂多模态环境下走神对脑电信号的影响
走神现象作为一系列与内定向认知相关的体验,严重影响着警觉性的进化。特别是,在必要时假设手动控制之前,远程操作监控部分自动化车队的人可能会看到他们的注意力由于内部来源而漂移;因此,它可以在出现跳出循环(OOTL)情况和相关性能问题时发挥重要作用。为了跟踪、量化和减轻这一现象,脑电图(EEG)系统已经显示出可靠的结果。当MW产生注意解耦时,erp和脑振荡都受到影响。然而,在复杂环境中影响这些标记的因素仍未完全了解。在本文中,我们特别讨论了注意解耦逐渐出现的可能性,以及用于传达目标的感觉模态所产生的差异。18名参与者被要求(1)监督一架自动无人机执行避障任务(视觉任务),(2)尽可能快地对不常见的蜂鸣声做出反应(听觉任务)。通过脑电图测量事件相关电位和α波。我们还增加了一个40赫兹的振幅调制棕色噪音来唤起稳态听觉反应(ASSR)。报告的MW发作分为任务相关发作和任务无关发作。我们发现,与其他注意状态相比,蜂鸣声诱发的N1 ERP分量在任务无关的峰时振幅较低,而P3分量在任务相关的峰时振幅较高。以顶枕区为中心,在与任务无关的脑电活动中,α波活动高于其他区域。这些结果支持任务无关记忆的解耦假说,但不支持任务相关记忆的解耦假说,强调了根据记忆片段的不同,解耦的“深度”可能发生变化。最后,我们发现注意状态对ASSR振幅没有影响。我们讨论了解释原因的可能原因。研究结果强调了EEG在模拟生态环境的实验室任务中跟踪和研究MW的能力,以及感知解耦对操作员行为的复杂影响,特别是EEG测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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