Subjective effort can significantly affect the ability of humans to act optimally in dynamic manipulation tasks. In a previous study, we designed a complex object coupling manipulation task that required tight performance and induced high cognitive workload. We hypothesize that strong-effort-related physiological reactivity during the dynamic manipulation task improves the user performance in an undesired task feedback situation. To test this hypothesis, using the motor intentions’ discrimination from electroencephalogram (EEG) measurements, we evaluate the effort expended by 20 participants in a controlling task with constraints involving complex coupling objects. Specifically, the finer motor decisions are obtained from the controlling information in EEG by using two fingers from the same hand rather than two hands. The motor intention is decoded from a task-dependent EEG through a regularized discriminant analysis, and the area under the curve is ∼0.94. Furthermore, we compare the undesired and desired task feedback conditions along with the individual’s effort dynamic adjustment, and investigate whether the undesired task feedback improved the discrimination of the motor activities. A stronger effort to attain the desired feedback state corresponds to improved motor activity discrimination from the EEG in the undesired task feedback scenario. The differences in the brain activities under the undesired and desired task feedback conditions are analyzed using brain-network-based topographical scalp maps. Our experiment provides preliminary evidence that inducing strong effort can improve discrimination performance during highly demanding tasks. This finding can advance our understanding of human attention, potentially improve the accuracy of intention recognition, and may inspire better EEG acquisition contexts.

中文翻译：

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通过耦合对象操作任务中的不良反馈改善辨别力

主观努力会显着影响人类在动态操作任务中最佳行动的能力。在之前的一项研究中，我们设计了一个复杂的对象耦合操作任务，该任务需要严格的性能并引发高认知工作量。我们假设在动态操作任务期间与大力相关的生理反应可以提高用户在不希望的任务反馈情况下的表现。为了验证这一假设，我们使用运动意图对脑电图 (EEG) 测量的区分，评估了 20 名参与者在具有复杂耦合对象约束的控制任务中所付出的努力。具体来说，通过使用同一只手的两个手指而不是两只手，从 EEG 中的控制信息中获得更精细的运动决策。～0.94. 此外，我们比较了不想要和想要的任务反馈条件以及个人的努力动态调整，并调查不想要的任务反馈是否提高了运动活动的辨别力。获得所需反馈状态的更大努力对应于在不受欢迎的任务反馈场景中改进了与 EEG 的运动活动区分。使用基于大脑网络的拓扑头皮图分析了在不需要和期望的任务反馈条件下大脑活动的差异。我们的实验提供了初步证据，表明在高要求的任务中诱导强烈的努力可以提高辨别能力。这一发现可以促进我们对人类注意力的理解，潜在地提高意图识别的准确性，