Recent studies indicate that higher capacity of cognitive control (CCC) represents higher processing efficiency (i.e., high accuracy with fast speed). However, the speed-accuracy tradeoff (SAT) exists ubiquitously in decision-making, and little is known about whether and how the CCC is associated with SAT and whether the CCC-SAT relationship would be affected by changes in information entropy. In this study, fifty-nine college students performed a majority function task in which accuracy and response speed were equally emphasized. A Bayesian-based hierarchical drift diffusion modeling method was used to estimate three parameters of boundary separation, drift rate, and nondecision time for each participant in this task. In addition, the CCC of each participant was estimated. The results showed that the CCC was positively correlated with the SAT represented by jointly increasing accuracy and reaction time (RT), which was modulated by the change in task-relevant information entropy. Multiple mediation analyses indicated that drift rate served as the key mediator in the positive CCC-accuracy relationship while boundary separation played the major mediating role in the positive CCC-RT relationship. These findings suggest that the CCC reflects not only the rate of information processing but also decision strategies for achieving current goals.

最近的研究表明，较高的认知控制能力（CCC）代表较高的处理效率（即准确度高，速度快）。然而，速度-精度权衡（SAT）在决策中无处不在，关于 CCC 是否以及如何与 SAT 相关，以及 CCC-SAT 关系是否会受到信息熵变化的影响，我们知之甚少。在这项研究中，59 名大学生执行了一个多数函数任务，其中准确性和响应速度并重。使用基于贝叶斯的分层漂移扩散建模方法来估计此任务中每个参与者的边界分离、漂移率和非决策时间的三个参数。此外，还估计了每个参与者的 CCC。结果表明，CCC 与 SAT 呈正相关，表现为准确度和反应时间 (RT) 的共同增加，后者受任务相关信息熵的变化的调节。多重中介分析表明，漂移率在正 CCC-精度关系中起关键中介作用，而边界分离在正 CCC-RT 关系中起主要中介作用。这些发现表明，CCC 不仅反映了信息处理的速度，还反映了实现当前目标的决策策略。多重中介分析表明，漂移率在正 CCC-精度关系中起关键中介作用，而边界分离在正 CCC-RT 关系中起主要中介作用。这些发现表明，CCC 不仅反映了信息处理的速度，还反映了实现当前目标的决策策略。多重中介分析表明，漂移率在正 CCC-精度关系中起关键中介作用，而边界分离在正 CCC-RT 关系中起主要中介作用。这些发现表明，CCC 不仅反映了信息处理的速度，还反映了实现当前目标的决策策略。