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}
}
  • J. Wolfe
  • Published 1 June 1994
  • Computer Science
  • Psychonomic Bulletin & Review
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… 
Guided Search 4.0: Current Progress With a Model of Visual Search
  • J. Wolfe
  • Psychology
    Integrated Models of Cognitive Systems
  • 2007
TLDR
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.
TLDR
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.
Visual attention in spatial cueing and visual search
TLDR
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.
Aging and Feature Search: The Effect of Search Area
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.
TLDR
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
Abstract : The visual system is not capable of processing of all aspects of a scene in parallel. While some visual information can be extracted from all locations at once, other processes, including
The impending demise of the item in visual search
TLDR
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
TLDR
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
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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References

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Abstract In studies of visual search, a general distinction is often made between the processes involved when detection of a target is unaffected by the number of distractors in the field and those
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  • J. Duncan, G. Humphreys
  • Psychology
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TLDR
Treisman (1991) described a series of visual search studies testing feature integration theory against an alternative (Duncan & Humphreys, 1989) in which feature and conjunction search are basically similar, finding that even when similarities were calibrated and controlled, conjunction search was much harder than feature search.
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TLDR
The results suggest that inferior temporal cortex is involved in selecting the objects to which the authors attend and foveate, and this area is known to be important for high-level visual processing.
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TLDR
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TLDR
Attention can be restricted to a spatially dispersed perceptual group, defined by common movement, which contradicts previous conclusions from visual search experiments that attention can only be assigned to contiguous regions of visual space.
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Previous theories of early vision have assumed that visual search is based on simple two-dimensional aspects of an image, such as the orientation of edges and lines. It is shown here that search can
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TLDR
A new theory of visual search is tested experimentally with simple colour patches, showing that efficiency increases continuously with decreasing similarity between targets and nontargets, and increasing similarity between one nontarget and another.
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  • Psychology
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TLDR
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