Harvard Medical School, Boston, Massachusetts,
Psychon Bull Rev. 1994 Jun;1(2):202-38. doi: 10.3758/BF03200774.
An important component of routine visual behavior is the ability to find one item in a visual world filled with other, distracting items. This ability to performvisual search has been the subject of a large body of research in the past 15 years. This paper reviews the visual search literature and presents a model of human search behavior. Built upon the work of Neisser, Treisman, Julesz, and others, the model distinguishes between a preattentive, massively parallel stage that processes information about basic visual features (color, motion, various depth cues, etc.) across large portions of the visual field and a subsequent limited-capacity stage that performs other, more complex operations (e.g., face recognition, reading, object identification) over a limited portion of the visual field. The spatial deployment of the limited-capacity process is under attentional control. The heart of the guided search model is the idea that attentional deployment of limited resources isguided by the output of the earlier parallel processes. Guided Search 2.0 (GS2) is a revision of the model in which virtually all aspects of the model have been made more explicit and/or revised in light of new data. The paper is organized into four parts: Part 1 presents the model and the details of its computer simulation. Part 2 reviews the visual search literature on preattentive processing of basic features and shows how the GS2 simulation reproduces those results. Part 3 reviews the literature on the attentional deployment of limited-capacity processes in conjunction and serial searches and shows how the simulation handles those conditions. Finally, Part 4 deals with shortcomings of the model and unresolved issues.
日常视觉行为的一个重要组成部分是在充满其他干扰项的视觉世界中找到一个项目的能力。在过去的 15 年中,这种进行视觉搜索的能力一直是大量研究的主题。本文回顾了视觉搜索文献,并提出了一种人类搜索行为模型。该模型建立在 Neisser、Treisman、Julesz 等人的工作基础上,区分了一个前注意的、大规模并行的阶段,该阶段处理关于基本视觉特征(颜色、运动、各种深度线索等)的信息,跨越视野的大部分区域,以及随后的一个有限容量的阶段,该阶段在视野的有限部分执行其他更复杂的操作(例如,人脸识别、阅读、物体识别)。有限容量过程的空间部署受到注意力的控制。受导搜索模型的核心思想是,注意力对有限资源的部署是由早期平行过程的输出引导的。GS2 是对该模型的修订版本,其中几乎所有方面的模型都已被更明确地制定,并根据新数据进行了修订。本文分为四个部分:第 1 部分介绍了模型及其计算机模拟的细节。第 2 部分回顾了关于基本特征的前注意处理的视觉搜索文献,并展示了 GS2 模拟如何重现这些结果。第 3 部分回顾了关于有限容量过程在联合和串行搜索中的注意力部署的文献,并展示了模拟如何处理这些条件。最后,第 4 部分讨论了模型的缺点和未解决的问题。