Department of Cognitive, Linguistic and Psychological Sciences, Brown University, Providence, Rhode Island 02912; email:
Brown Institute for Brain Science, Brown University, Providence, Rhode Island 02912.
Annu Rev Neurosci. 2017 Jul 25;40:99-124. doi: 10.1146/annurev-neuro-072116-031526. Epub 2017 Mar 31.
In spite of its familiar phenomenology, the mechanistic basis for mental effort remains poorly understood. Although most researchers agree that mental effort is aversive and stems from limitations in our capacity to exercise cognitive control, it is unclear what gives rise to those limitations and why they result in an experience of control as costly. The presence of these control costs also raises further questions regarding how best to allocate mental effort to minimize those costs and maximize the attendant benefits. This review explores recent advances in computational modeling and empirical research aimed at addressing these questions at the level of psychological process and neural mechanism, examining both the limitations to mental effort exertion and how we manage those limited cognitive resources. We conclude by identifying remaining challenges for theoretical accounts of mental effort as well as possible applications of the available findings to understanding the causes of and potential solutions for apparent failures to exert the mental effort required of us.
尽管心理努力的现象学众所周知,但它的机械基础仍未得到很好的理解。尽管大多数研究人员都认为心理努力是令人厌恶的,源于我们行使认知控制能力的局限性,但尚不清楚是什么导致了这些局限性,以及为什么它们会导致控制体验变得代价高昂。这些控制成本的存在也进一步提出了如何最好地分配心理努力以最小化这些成本并最大化随之而来的好处的问题。本综述探讨了最近在计算建模和实证研究方面的进展,旨在从心理过程和神经机制的层面上解决这些问题,既考察了心理努力发挥的局限性,也考察了我们如何管理这些有限的认知资源。最后,我们确定了心理努力理论解释中仍然存在的挑战,以及现有研究结果在理解明显未能发挥我们所需的心理努力的原因和潜在解决方案方面的可能应用。