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Cognitive architecture enables comprehensive predictive models of visual search

Published online by Cambridge University Press:  24 May 2017

David E. Kieras  and
Anthony Hornof
David E. Kieras
Affiliation:
EECS Department, University of Michigan, Ann Arbor, MI 48109-2121; kieras@umich.edu http://web.eecs.umich.edu/~kieras/
Anthony Hornof
Affiliation:
Department of Computer and Information Science, University of Oregon, Eugene, OR 97403-1202. hornof@cs.uoregon.edu http://ix.cs.uoregon.edu/~hornof/
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Abstract

With a simple demonstration model, Hulleman & Olivers (H&O) effectively argue that theories of visual search need an overhaul. We point to related literature in which visual search is modeled in even more detail through the use of computational cognitive architectures that incorporate fundamental perceptual, cognitive, and motor mechanisms; the result of such work thus far bolsters their arguments considerably.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e142
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Copyright
Copyright © Cambridge University Press 2017 

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