Surgical Neurology Branch, National Institute of Neurological Disorders and Stroke, National Institutes of Health.
Department of Psychology, University of California, Riverside.
J Exp Psychol Gen. 2023 Jul;152(7):2074-2093. doi: 10.1037/xge0001391. Epub 2023 Mar 23.
Active maintenance of information in working memory (WM) is an essential but effortful cognitive process. Yet, the effortful nature of WM remains poorly understood. Here, we constructed a model to evaluate how perceived effort of WM is directly compared to that of physical exertion. In Experiment 1, participants freely chose to either remember a certain number of colors in a visual WM task or hold a hand dynamometer to a required percentage of maximal voluntary contraction (%MVC) to obtain a fixed task credit upon successful task completion. We found that participants discounted WM-related effort in the same way as they discounted handgrip-related effort based on a computation of expected choice outcomes (hence utility) associated with different task loads. This rationality in an observer's prospective choice in Experiment 1 was generalized to retrospective choice in Experiment 2 where participants reported which task was more effortful immediately after they had performed both tasks in a randomized order without any reward or feedback. Experiment 3 further probed this shared mechanism using a dual-task paradigm. As predicted by our model, we found that physical exertion could disrupt the performance in the concurrent WM task, proportional to the iso-effort relationship between WM and physical exertion when task loads were high for both tasks. Collectively, our findings converge on a shared computational principle connecting task load, perceived effort, and choice utility across physical and cognitive domains. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
主动维护工作记忆 (WM) 中的信息是一项必不可少但需要付出努力的认知过程。然而,WM 的努力性质仍未得到很好的理解。在这里,我们构建了一个模型来评估 WM 的感知努力是如何直接与身体努力进行比较的。在实验 1 中,参与者自由选择记住视觉 WM 任务中的一定数量的颜色,或者握住手测力计达到最大自主收缩的要求百分比(%MVC),以在成功完成任务后获得固定的任务学分。我们发现,参与者根据与不同任务负荷相关的预期选择结果(即效用)的计算,以与手握相关的努力相同的方式来折扣 WM 相关的努力。这种观察者在实验 1 中前瞻性选择的合理性在实验 2 中得到了推广,在实验 2 中,参与者在随机顺序下完成了两项任务后,立即报告哪项任务更费力,而没有任何奖励或反馈。实验 3 进一步使用双任务范式探究了这种共享机制。正如我们的模型所预测的那样,我们发现当两项任务的任务负荷都很高时,身体努力会破坏同时进行的 WM 任务的表现,与 WM 和身体努力之间的等努力关系成正比。总的来说,我们的发现汇集在一个连接物理和认知领域的任务负荷、感知努力和选择效用的共享计算原则上。(PsycInfo 数据库记录(c)2023 APA,保留所有权利)。