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首页> 外文期刊>Journal of Experimental Psychology. General >Eye movements reveal dynamics of task control
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Eye movements reveal dynamics of task control

机译：眼动显示任务控制的动态

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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.
机译：为了确定构成灵活的控制设置基础的认知架构，我们通过在提示的任务切换范例中跟踪眼睛的运动来评估注意选择的试验内和试验间动态。审判内的动态显示，在任务一致的注视中，开关引起的离散延迟开始，这一结果与更高级别的配置过程一致。接下来，我们假设竞争是通过任务级别的竞争或通过更高级别的配置过程来实现的，我们从竞争模型中得出了关于控制设置的试验与试验动态耦合的预测。通过混合线性建模估计的试验n？1眼球运动与试验n响应时间之间的经验耦合动力学揭示了一种与较高级别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对柔性控制模型产生新的约束。这种通用方法在理论进展依赖于有关个人内部动态关系的高分辨率信息的任何领域中都是有用的。

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