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Integrated Models of Cognitive Systems$
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Wayne D. Gray

Print publication date: 2007

Print ISBN-13: 9780195189193

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195189193.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 10 December 2019

Guided Search 4.0

Guided Search 4.0

Current Progress with a Model of Visual Search

Chapter:
(p.99) 8 Guided Search 4.0
Source:
Integrated Models of Cognitive Systems
Author(s):

Jeremy M. Wolfe

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195189193.003.0008

Visual input is processed in parallel in the early stages of the visual system. Later, object recognition processes are also massively parallel, matching a visual object with a vast array of stored representation. A tight bottleneck in processing lies between these stages. It permits only one or a few visual objects at any one time to be submitted for recognition. That bottleneck limits performance on visual search tasks when an observer looks for one object in a field containing distracting objects. Guided Search is a model of the workings of that bottleneck. It proposes that a limited set of attributes, derived from early vision, can be used to guide the selection of visual objects. The bottleneck and recognition processes are modeled using an asynchronous version of a diffusion process. The current version (Guided Search 4.0) captures a range of empirical findings.

Keywords:   Guided Search 4.0, visual input, object recognition, visual search, bottleneck, visual objects, diffusion, early vision

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