Department of Psychological and Brain Sciences, University of Iowa, 264 Psychological & Brain Sciences Building, Iowa City, IA, 52242, USA.
Cognitive Control Collaborative, University of Iowa, Iowa City, IA, USA.
Psychon Bull Rev. 2022 Oct;29(5):1812-1820. doi: 10.3758/s13423-021-02035-3. Epub 2022 Apr 8.
The structure of task representations is widely studied with task-switching procedures in which the experimenter compares performance across predetermined categories of trial transitions (viz., switch costs). This approach has been productive, but relies on experimental assumptions about the relationships among stimulus-response mappings that define a set. Here, we develop a novel method of evaluating structure without relying on such assumptions. Participants responded to centrally presented stimuli and we computed the transitional response times (RTs; changes in RT as a function of specific response sequences) for each response combination. Conventional task-switch analyses revealed costs when the response switched from the left-side to the right or vice versa, but this switch cost was not affected by whether the stimuli belonged to a single category or to two distinct categories. In contrast, the transitional RT analysis provided fine-grained information about relationships among responses and how these relationships were affected by stimulus and response manipulations. Specifically, tasks containing a single stimulus category produced response chains in which neighboring responses had lower transitional RTs, while these chains were broken when two stimulus categories were used. We propose that the transitional RT approach offers a more detailed picture of the underlying task representation that reveals structure not detectable by conventional switch cost measures and does not require a priori assumptions about task organization.
任务表示结构的研究广泛采用任务转换程序,其中实验者在预定的试验转换类别(即转换代价)之间比较表现。这种方法很有成效,但依赖于关于定义集合的刺激-反应映射关系的实验假设。在这里,我们开发了一种不依赖于这些假设的评估结构的新方法。参与者对中央呈现的刺激做出反应,我们计算了每个反应组合的过渡反应时间(RT;特定反应序列的 RT 变化)。传统的任务转换分析显示,当反应从左侧切换到右侧或反之亦然时会产生代价,但这种切换代价不受刺激属于单个类别还是两个不同类别影响。相比之下,过渡 RT 分析提供了有关反应之间关系以及这些关系如何受到刺激和反应操作影响的更细粒度的信息。具体来说,包含单个刺激类别的任务会产生反应链,其中相邻的反应具有较低的过渡 RT,而当使用两个刺激类别时,这些链会被打破。我们提出,过渡 RT 方法提供了对底层任务表示的更详细的描述,揭示了传统的转换代价测量无法检测到的结构,并且不需要关于任务组织的先验假设。