Annual Review of Vision Science ( IF 5.0 ) Pub Date : 2020-09-16 , DOI: 10.1146/annurev-vision-091718-015048 Jeremy M Wolfe 1, 2, 3
In visual search tasks, observers look for targets among distractors. In the lab, this often takes the form of multiple searches for a simple shape that may or may not be present among other items scattered at random on a computer screen (e.g., Find a red T among other letters that are either black or red.). In the real world, observers may search for multiple classes of target in complex scenes that occur only once (e.g., As I emerge from the subway, can I find lunch, my friend, and a street sign in the scene before me?). This article reviews work on how search is guided intelligently. I ask how serial and parallel processes collaborate in visual search, describe the distinction between search templates in working memory and target templates in long-term memory, and consider how searches are terminated.
中文翻译:
视觉搜索:我们如何找到想要的东西?
在视觉搜索任务中,观察者会在干扰因素中寻找目标。在实验室中,这通常采取多次搜索的形式,寻找一个简单的形状,该形状可能出现在计算机屏幕上随机散布的其他项目中,也可能不存在(例如,在其他黑色或红色字母中找到红色T)。 )。在现实世界中,观察者可能会在仅发生一次的复杂场景中搜索多类目标(例如,当我从地铁中出来时,可以在我之前的场景中找到午餐,我的朋友和路牌吗?)。本文回顾了如何智能地指导搜索的工作。我想问一下串行和并行过程如何在视觉搜索中进行协作,描述工作内存中的搜索模板与长期内存中的目标模板之间的区别,并考虑如何终止搜索。