Domain-general cognitive motivation: Evidence from economic decision-making - Final Registered Report.
Domain-general cognitive motivation: Evidence from economic decision-making - Final Registered Report.
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DOI：
10.1186/s41235-022-00363-z
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发表时间：
2022-03-18
期刊：
影响因子：
--
通讯作者：
Braver TS
中科院分区：
文献类型：
--
作者：
Crawford JL;Eisenstein SA;Peelle JE;Braver TS
认知动机的稳定个体差异（即，倾向于从事和享受努力的认知活动）已被记录与自我报告的措施，但收敛的支持，一个特质水平的结构仍然缺乏。在本研究中，我们使用了一种创新的决策范式（COG-ED）来量化认知努力的成本，这是一种认知动机的度量，跨越两个不同的认知领域：工作记忆（N-back任务）和言语理解（在背景噪音中理解口语句子）。我们假设，认知动机在个人内部的运作方式相似，无论领域。具体来说，在104名18-40岁的成年人中，我们测试了努力成本的个体差异是否在各个领域都是稳定的，即使在控制了其他潜在的共享个体差异来源之后。相反，我们评估了跨领域认知努力的成本是否可以用其他相关的认知和个性相关的结构（如工作记忆容量或奖励敏感性）来更好地解释。我们证实了在这两个领域的努力成本之间的可靠关联，即使这些其他来源的个体差异，以及任务负荷，统计控制。总之，这些结果增加了对认知动机的特质水平变化的支持，这些认知动机影响了跨多个领域的基于努力的决策。在线版本包含补充材料，可通过10.1186/s41235-022-00363-z获得。
Stable individual differences in cognitive motivation (i.e., the tendency to engage in and enjoy effortful cognitive activities) have been documented with self-report measures, yet convergent support for a trait-level construct is still lacking. In the present study, we used an innovative decision-making paradigm (COG-ED) to quantify the costs of cognitive effort, a metric of cognitive motivation, across two distinct cognitive domains: working memory (an N-back task) and speech comprehension (understanding spoken sentences in background noise). We hypothesized that cognitive motivation operates similarly within individuals, regardless of domain. Specifically, in 104 adults aged 18–40 years, we tested whether individual differences in effort costs are stable across domains, even after controlling for other potential sources of shared individual variation. Conversely, we evaluated whether the costs of cognitive effort across domains may be better explained in terms of other relevant cognitive and personality-related constructs, such as working memory capacity or reward sensitivity. We confirmed a reliable association among effort costs in both domains, even when these other sources of individual variation, as well as task load, are statistically controlled. Taken together, these results add support for trait-level variation in cognitive motivation impacting effort-based decision making across multiple domains. The online version contains supplementary material available at 10.1186/s41235-022-00363-z.
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