在六项认知任务中通过六种生物医学模式监测大脑、心脏和眼睛,评估心理工作量

Jesse Mark, Adrian Curtin, Amanda E. Kraft, Matthias D. Ziegler, Hasan Ayaz
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引用次数: 0

摘要

复杂的高精度人机系统(如航空航天和机器人手术)的效率和安全性与其操作人员的认知准备程度、管理工作量的能力和态势感知能力密切相关。对脑力劳动负荷的准确评估有助于防止操作人员出错,并通过预测工作负荷过重或刺激不足可能导致的性能下降,进行有针对性的干预。在这项研究中,我们开发了一种新的六认知域任务协议,并将其与六种生物医学监测模式相结合,在多天的纵向调查中同时捕捉成绩和认知工作量的相关性。23 名参与者在 4 周内参加了 4 次训练,分别执行与工作记忆、警觉性、风险评估、注意力转移、情境意识和抑制控制相关的任务。虽然某些测量指标在不同任务中表现出一致性,但神经成像模式尤其揭示了不同任务条件和认知领域之间存在的有意义的差异。研究结果凸显了可穿戴脑部和身体传感方法在评估脑力劳动负荷方面的潜力。这种全面的神经工效学评估可以为开发下一代神经适应界面和培训方法提供信息,从而提高人机交互效率和操作员技能的掌握。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mental workload assessment by monitoring brain, heart, and eye with six biomedical modalities during six cognitive tasks
The efficiency and safety of complex high precision human-machine systems such as in aerospace and robotic surgery are closely related to the cognitive readiness, ability to manage workload, and situational awareness of their operators. Accurate assessment of mental workload could help in preventing operator error and allow for pertinent intervention by predicting performance declines that can arise from either work overload or under stimulation. Neuroergonomic approaches based on measures of human body and brain activity collectively can provide sensitive and reliable assessment of human mental workload in complex training and work environments.In this study, we developed a new six-cognitive-domain task protocol, coupling it with six biomedical monitoring modalities to concurrently capture performance and cognitive workload correlates across a longitudinal multi-day investigation. Utilizing two distinct modalities for each aspect of cardiac activity (ECG and PPG), ocular activity (EOG and eye-tracking), and brain activity (EEG and fNIRS), 23 participants engaged in four sessions over 4 weeks, performing tasks associated with working memory, vigilance, risk assessment, shifting attention, situation awareness, and inhibitory control.The results revealed varying levels of sensitivity to workload within each modality. While certain measures exhibited consistency across tasks, neuroimaging modalities, in particular, unveiled meaningful differences between task conditions and cognitive domains.This is the first comprehensive comparison of these six brain-body measures across multiple days and cognitive domains. The findings underscore the potential of wearable brain and body sensing methods for evaluating mental workload. Such comprehensive neuroergonomic assessment can inform development of next generation neuroadaptive interfaces and training approaches for more efficient human-machine interaction and operator skill acquisition.
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