Guided Search 2.0 A revised model of visual search
@article{Wolfe1994GuidedS2, title={Guided Search 2.0 A revised model of visual search}, author={Jeremy M. Wolfe}, journal={Psychonomic Bulletin \& Review}, year={1994}, volume={1}, pages={202-238} }
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…
3,447 Citations
Guided Search 4.0: Current Progress With a Model of Visual Search
- PsychologyIntegrated Models of Cognitive Systems
- 2007
GS evolved out of the two-stage architecture of models like Treisman's feature integration theory (FIT), which proposed a parallel, preattentive first stage and a serial second stage controlled by visual selective attention.
Visual search.
- PsychologyWiley interdisciplinary reviews. Cognitive science
- 2013
This article reviews major theories of visual search, the ways in which preattentive information is used to guide attentional allocation, the role of memory, and the processes and decisions involved in its successful completion, and concludes by summarizing the current state of knowledge.
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- PsychologyJournal of vision
- 2021
An observer model is developed that combines the perceptual template model (PTM), the attention mechanisms in the PTM framework, and uncertainty of signal detection theory to provide a coherent picture regarding how visual information is selected and processed during feature search.
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- Psychology
- 2001
The preattentive system involves the rapid parallel processing of visual information in the visual scene so that attention can be directed to mean ingful objects and locations in the environment.…
A model of top-down attentional control during visual search in complex scenes.
- PsychologyJournal of vision
- 2009
A top-down model of visual attention during search in complex scenes based on similarity between the target and regions of the search scene is devised and the amount of attentional guidance across visual feature dimensions is predicted by a previously introduced informativeness measure.
The Deployment of Visual Attention: Two Surprises
- Psychology
- 2000
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- 2015
It is argued that the evidence now overwhelmingly favours an approach that takes fixations, not individual items, as its central unit, and promises a more fundamental understanding of visual search by offering a unified account of both eye movement and manual response behaviour across the entire range of observed search efficiency.
Experience-Guided Search: A Theory of Attentional Control
- Computer ScienceNIPS
- 2007
A principled probabilistic formulation of Guided Search is proposed, called Experience-Guided Search (EGS), based on a generative model of the environment that makes three claims: feature detectors produce Poisson spike trains whose rates are conditioned on feature type and whether the feature belongs to a target or distractor.
The Lower Visual Search Efficiency for Conjunctions Is Due to Noise and not Serial Attentional Processing
- Psychology
- 1998
Models of human visual processing start with an initial stage with parallel independent processing of different physical attributes or features (e.g., color, orientation, motion). A second stage in…
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