Department of Psychology and Behavioral Sciences, Zhejiang University, 148 Tian Mu Shan Road, Hangzhou, 310007, People's Republic of China.
Department of Psychiatry, The Fourth Affiliated Hospital, Zhejiang University School of Medicine and International Institutes of Medicine of Zhejiang University, Yiwu, 322000, People's Republic of China.
Atten Percept Psychophys. 2024 Jul;86(5):1641-1652. doi: 10.3758/s13414-024-02906-6. Epub 2024 Jun 5.
When we search for something, we often rely on both what we see and what we remember. This process can be divided into three stages: selecting items, identifying those items, and comparing them with what we are trying to find in our memory. It has been suggested that we select items one by one, and we can identify several items at once. In the present study, we tested whether we need to finish comparing a selected item in the visual display with one or more target templates in memory before we can move on to the next selected item. In Experiment 1, observers looked for either one or two target types in a rapid serially presented stimuli stream. The time interval between the presentation onset of successive items in the stream was varied to get a threshold. For search for one target, the threshold was 89 ms. When look for either of two targets, it was 192 ms. This threshold difference offered a baseline. In Experiment 2, observers looked for one or two types of target in a search array. If they compared each identified item separately, we should expect a jump in the slope of the RT × Set Size function, on the order of the baseline obtained in Experiment 1. However, the slope difference was only 13 ms/item, suggesting that several identified items can be compared at once with target templates in memory. Experiment 3 showed that this slope difference was not just a memory-load cost.
当我们搜索某些东西时,我们通常既依赖于我们所看到的,也依赖于我们所记得的。这个过程可以分为三个阶段:选择项目、识别这些项目,以及将它们与我们试图在记忆中找到的东西进行比较。有人提出,我们可以逐个选择项目,也可以一次识别多个项目。在本研究中,我们测试了在我们可以继续下一个选择项目之前,是否需要完成在视觉显示中与一个或多个目标模板之间对选定项目的比较。在实验 1 中,观察者在快速连续呈现的刺激流中寻找一个或两个目标类型。连续项目在流中呈现的时间间隔变化以获得阈值。对于搜索一个目标,阈值为 89 毫秒。当寻找两个目标中的任何一个时,阈值为 192 毫秒。这个阈值差异提供了一个基线。在实验 2 中,观察者在搜索数组中寻找一个或两个类型的目标。如果他们分别比较每个识别的项目,我们应该期望 RT×Set Size 函数的斜率会突然上升,其幅度与实验 1 中获得的基线相当。然而,斜率差异仅为 13 毫秒/项目,这表明可以同时将多个识别的项目与记忆中的目标模板进行比较。实验 3 表明,这种斜率差异不仅仅是记忆负载成本。