Faculty of Psychology, Technische Universität Dresden, Dresden, Germany.
Max Planck Institute for Human Development, Lentzeallee 94, 14195, Berlin, Germany.
Sci Rep. 2022 May 17;12(1):8240. doi: 10.1038/s41598-022-12341-y.
Humans show metacontrol of decision making, that is they adapt their reliance on decision-making strategies toward situational differences such as differences in reward magnitude. Specifically, when higher rewards are at stake, individuals increase reliance on a more accurate but cognitively effortful strategy. We investigated whether the personality trait Need for Cognition (NFC) explains individual differences in metacontrol. Based on findings of cognitive effort expenditure in executive functions, we expected more metacontrol in individuals low in NFC. In two independent studies, metacontrol was assessed by means of a decision-making task that dissociates different reinforcement-learning strategies and in which reward magnitude was manipulated across trials. In contrast to our expectations, NFC did not account for individual differences in metacontrol of decision making. In fact, a Bayesian analysis provided moderate to strong evidence against a relationship between NFC and metacontrol. Beyond this, there was no consistent evidence for relationship between NFC and overall model-based decision making. These findings show that the effect of rewards on the engagement of effortful decision-making strategies is largely independent of the intrinsic motivation for engaging in cognitively effortful tasks and suggest a differential role of NFC for the regulation of cognitive effort in decision making and executive functions.
人类表现出决策的元控制,也就是说,他们会根据情境差异(例如奖励大小的差异)来调整对决策策略的依赖程度。具体来说,当面临更高的奖励时,个体就会增加对更准确但认知上更费力的策略的依赖。我们调查了认知需求(NFC)这一人格特质是否可以解释元控制中的个体差异。基于执行功能中认知努力消耗的发现,我们预计 NFC 水平较低的个体的元控制能力会更强。在两项独立的研究中,通过一种决策任务来评估元控制,该任务可以分离不同的强化学习策略,并且在试验中操纵奖励大小。与我们的预期相反,NFC 并不能解释决策中元控制的个体差异。事实上,贝叶斯分析提供了从中等到强有力的证据,表明 NFC 与元控制之间没有关系。除此之外,NFC 与整体基于模型的决策之间也没有一致的关系证据。这些发现表明,奖励对费力决策策略的影响在很大程度上独立于参与认知费力任务的内在动机,并且表明 NFC 在决策和执行功能中的认知努力调节方面发挥了不同的作用。