Randez Alyssa, Hélie Sébastien
CCN Lab, Department of Psychological Sciences, Purdue University, West Lafayette, IN, United States.
Front Psychol. 2024 May 2;15:1303262. doi: 10.3389/fpsyg.2024.1303262. eCollection 2024.
Individual differences in cognitive effort-based decision-making can be used to reveal human motivations to invest effort into a given task. Preferences among options that differ by dimensions related to demand levels (i.e., the interaction of task characteristics and performance measures) are also heavily influenced by how likely a person can succeed at a given option. However, most existing cognitive effort-based research has focused primarily on demand-related factors, leading to confounding inferences about the motivation behind these choices. This study used an adaptive algorithm to adjust relative demand levels for three cognitive tasks to investigate general and individual differences in demand preferences. The results highlight an overall pattern of individual differences in intrinsic motivation to perform challenging tasks, supporting research that found cognitive effort aversive to some but attractive to others. These results suggest that relative demand levels and intrinsic task factors drive the motivation to select an action.
基于认知努力的决策中的个体差异可用于揭示人类为特定任务投入努力的动机。在因与需求水平相关的维度(即任务特征与绩效指标的相互作用)而有所不同的选项之间的偏好,也会受到一个人在给定选项上取得成功的可能性的严重影响。然而,大多数现有的基于认知努力的研究主要集中在与需求相关的因素上,导致对这些选择背后动机的推断产生混淆。本研究使用一种自适应算法来调整三项认知任务的相对需求水平,以调查需求偏好方面的一般差异和个体差异。结果突出了在执行具有挑战性任务的内在动机方面个体差异的总体模式,支持了那些发现认知努力对一些人来说是厌恶的而对另一些人来说是有吸引力的研究。这些结果表明,相对需求水平和内在任务因素驱动了选择行动的动机。