Mathematical Thinking Lab, School of Education and School of Neuroscience, Tel Aviv University, Tel Aviv 6997801, Israel; Cognitive Neuroimaging Unit, CEA DRF/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, 91191 Gif/Yvette, France.
Cognitive Neuroimaging Unit, CEA DRF/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin center, 91191 Gif/Yvette, France; Laboratory of Behavioral and Cognitive Neuroscience, Stanford Human Intracranial Cognitive Electrophysiology Program, Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA.
Trends Cogn Sci. 2019 Dec;23(12):1058-1070. doi: 10.1016/j.tics.2019.10.002. Epub 2019 Nov 1.
A central goal in cognitive science is to parse the series of processing stages underlying a cognitive task. A powerful yet simple behavioral method that can resolve this problem is finger trajectory tracking: by continuously tracking the finger position and speed as a participant chooses a response, and by analyzing which stimulus features affect the trajectory at each time point during the trial, we can estimate the absolute timing and order of each processing stage, and detect transient effects, changes of mind, serial versus parallel processing, and real-time fluctuations in subjective confidence. We suggest that trajectory tracking, which provides considerably more information than mere response times, may provide a comprehensive understanding of the fast temporal dynamics of cognitive operations.
认知科学的一个核心目标是分析认知任务所涉及的一系列处理阶段。一种强大而简单的行为方法可以解决这个问题，那就是手指轨迹追踪：通过连续跟踪手指的位置和速度，当参与者做出反应时，通过分析哪些刺激特征会影响试验过程中每个时间点的轨迹，我们可以估计每个处理阶段的绝对时间和顺序，并检测瞬态效应、思维变化、串行与并行处理以及主观置信度的实时波动。我们认为，轨迹追踪提供的信息比单纯的反应时间要多得多，它可能为认知操作的快速时间动态提供全面的理解。
