Literature DB >> 31290134

How feature integration theory integrated cognitive psychology, neurophysiology, and psychophysics.

Árni Kristjánsson1,2, Howard Egeth3.   

Abstract

Anne Treisman's Feature Integration Theory (FIT) is a landmark in cognitive psychology and vision research. While many have discussed how Treisman's theory has fared since it was first proposed, it is less common to approach FIT from the other side in time: to examine what experimental findings, theoretical concepts, and ideas inspired it. The theory did not enter into a theoretical vacuum. Treisman's ideas were inspired by a large literature on a number of topics within visual psychophysics, cognitive psychology, and visual neurophysiology. Several key ideas developed contemporaneously within these fields that inspired FIT, and the theory involved an attempt at integrating them. Our aim here was to highlight the conceptual problems, experimental findings, and theoretical positions that Treisman was responding to with her theory and that the theory was intended to explain. We review a large number of findings from the decades preceding the proposal of feature integration theory showing how the theory integrated many ideas that developed in parallel within neurophysiology, visual psychophysics, and cognitive psychology. Our conclusion is that FIT made sense of many preceding findings, integrating them in an elegant way within a single theoretical account.

Entities:  

Keywords:  Basic features; Feature integration; Selective attention; Vision; Visual search

Mesh:

Year:  2020        PMID: 31290134     DOI: 10.3758/s13414-019-01803-7

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  4 in total

1.  Contrasting attentional biases in a saccadic choice task.

Authors:  Ómar I Jóhannesson; Árni Kristjánsson; Jérôme Tagu
Journal:  Exp Brain Res       Date:  2021-10-21       Impact factor: 1.972

Review 2.  Guided Search 6.0: An updated model of visual search.

Authors:  Jeremy M Wolfe
Journal:  Psychon Bull Rev       Date:  2021-02-05

3.  MILO Mobile: An iPad App to Measure Search Performance in Multi-Target Sequences.

Authors:  Ian M Thornton; Todd S Horowitz
Journal:  Iperception       Date:  2020-06-20

4.  Toward a Theory of Visual Information Acquisition in Driving.

Authors:  Benjamin Wolfe; Ben D Sawyer; Ruth Rosenholtz
Journal:  Hum Factors       Date:  2020-07-17       Impact factor: 3.598

  4 in total

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