Department of Psychology, University of Oregon, Eugene, OR97403, USA.
J Exp Psychol Gen. 2013 May;142(2):489-509. doi: 10.1037/a0029353. Epub 2012 Jul 30.
With the goal to determine the cognitive architecture that underlies flexible changes of control settings, we assessed within-trial and across-trial dynamics of attentional selection by tracking of eye movements in the context of a cued task-switching paradigm. Within-trial dynamics revealed a switch-induced, discrete delay in onset of task-congruent fixations, a result that is consistent with a higher level configuration process. Next, we derived predictions about the trial-to-trial dynamic coupling of control settings from competing models, assuming that control is achieved either through task-level competition or through higher level configuration processes. Empirical coupling dynamics between trial n-1 eye movements and trial n response times--estimated through mixed linear modeling--revealed a pattern that was consistent with the higher level configuration model. The results indicate that a combination of eye movement data and mixed modeling methods can yield new constraints on models of flexible control. This general approach can be useful in any domain in which theoretical progress depends on high-resolution information about dynamic relationships within individuals.
为了确定控制设置灵活变化所依赖的认知架构,我们通过在提示任务转换范式中跟踪眼球运动,评估了注意选择的trial 内和跨 trial 动态。trial 内动态揭示了切换诱导的、与任务一致的注视起始的离散延迟,这一结果与更高层次的配置过程一致。接下来,我们从竞争模型中推导出关于控制设置的trial-to-trial 动态耦合的预测,假设控制是通过任务级别竞争还是通过更高层次的配置过程来实现的。通过混合线性建模估计的trial n-1 眼动和 trial n 反应时间之间的经验耦合动态揭示了与更高层次的配置模型一致的模式。结果表明,眼动数据和混合建模方法的结合可以为灵活控制的模型提供新的约束。这种通用方法在任何理论进展取决于个体内部动态关系的高分辨率信息的领域都可能是有用的。