Department of Psychology, McGill University, Montréal, Canada.
Intergrated Program in Neuroscience, McGill University, Montréal, Canada.
Cogn Affect Behav Neurosci. 2021 Jun;21(3):592-606. doi: 10.3758/s13415-020-00843-z. Epub 2020 Oct 20.
A spate of research has examined how individuals regulate effortful processing in service of goal-directed behaviors. One key challenge in developing an account of this regulation is quantifying the momentary amount of cognitive effort exerted by an individual in service of their goals. A growing body of literature has suggested using task-evoked pupil dilations as a potential psychophysiological index of cognitive effort; however, it remains unclear whether pupil diameter indexes effort exertion or merely reflects task load, as both are tightly intertwined. Here, we attempt to disentangle these disparate accounts of pupil diameter by leveraging individual differences in executive function (as measured by Stroop interference) and a motivational manipulation (i.e., monetary incentives) while participants complete a task-switching paradigm. In line with both the effort and demand accounts, we observed larger task-evoked pupillary responses (TEPRs) for trials in which there was a task switch versus a task repetition. Additionally, we found that larger phasic pupillary responses at baseline (without reward incentives) predicted smaller switch costs. Mirroring this pattern, individual differences in reward-induced switch cost reductions were predicted by reward-induced increases in phasic pupil diameter. Finally, we observed that the interrelationship between effort and pupil diameter at baseline was modulated by individual differences in Stroop interference costs. Together, these findings provide support for an effort account of TEPRs, and suggest that pupillometry is a viable index of cognitive effort.
大量研究已经研究了个体如何调节努力加工以服务于目标导向的行为。开发这种调节的一个关键挑战是量化个体为实现目标而付出的认知努力的瞬间量。越来越多的文献表明,使用任务诱发的瞳孔扩张作为认知努力的潜在心理生理指标;然而,目前尚不清楚瞳孔直径是否指数努力的付出,或者仅仅反映任务负荷,因为两者紧密交织。在这里,我们试图通过利用执行功能的个体差异(通过斯特鲁普干扰来衡量)和动机操纵(即金钱激励)来解开这些不同的瞳孔直径解释,同时参与者完成任务转换范式。与努力和需求理论一致,我们观察到在有任务切换与任务重复的情况下,更大的任务诱发瞳孔反应(TEPR)。此外,我们发现基线时更大的相位瞳孔反应(没有奖励激励)预测更小的切换成本。这种模式的镜像表明,奖励诱导的相位瞳孔直径增加预测了奖励诱导的切换成本降低的个体差异。最后,我们观察到基线时努力和瞳孔直径之间的相互关系受到斯特鲁普干扰成本个体差异的调节。总之,这些发现为 TEPR 的努力理论提供了支持,并表明瞳孔测量是认知努力的可行指标。