March David S, Gaertner Lowell
Department of Psychology, Florida State University, 1107 W. Call St., Tallahassee, FL, 32304, USA.
Department of Psychology, University of Tennessee, Knoxville, TN, 37996, USA.
Behav Res Methods. 2021 Dec;53(6):2439-2449. doi: 10.3758/s13428-021-01575-9. Epub 2021 Apr 12.
Mouse-tracking facilitates exploration of the mental processes underlying decision-making. As the cognitive system works to settle on a decision, response competition manifests in the motor movements of the hand, bringing the mouse relatively closer to one alternative versus the other. Many metrics provide insight into decision-making processes by indexing the shape or complexity of the mouse trajectory. Lacking, however, is a metric that estimates the point in time when a participant begins to correctly categorize a stimulus. We rectify this absence by introducing a metric we refer to as time of initiating correct categorization (TICC), which is the point in time when people began moving relatively closer to the selected target relative to the distractor. We briefly review existing approaches to measuring time in mouse-tracking before describing the TICC and demonstrating its utility in three data sets.
鼠标追踪有助于探索决策背后的心理过程。当认知系统努力做出决策时，反应竞争会在手部的运动中表现出来，使鼠标相对更靠近某一选项而非另一选项。许多指标通过对鼠标轨迹的形状或复杂性进行索引，为决策过程提供见解。然而，缺乏一种能够估计参与者开始正确分类刺激的时间点的指标。我们通过引入一种我们称为开始正确分类时间（TICC）的指标来纠正这一缺失，TICC是指人们开始相对于干扰物更靠近所选目标的时间点。在描述TICC并展示其在三个数据集中的效用之前，我们简要回顾一下在鼠标追踪中测量时间的现有方法。
