Visual Attention and Change Detection

Ty W. Boyer; Thomas G. Smith; Chen Yu; Bennett I. Bertenthal

Visual Attention and Change Detection

Ty W. Boyer, Thomas G. Smith, Chen Yu, Bennett I. Bertenthal

Psychology

Indiana University

Research output: Contribution to journal › Article › peer-review

Abstract

Studies suggest that visual attention, guided in part by features’ visual salience, is necessary for change detection. An image processing algorithm was used for measuring the visual salience of the features of scenes, and participants’ ability to detect changes made to high and low salience features was measured with a flicker paradigm while their eye movements were recorded. Changes to high salience features were fixated sooner, for shorter durations, and were detected faster and with higher accuracy than those made to low salience features. The implications of these results for visual attention and change detection research are discussed.

Original language	American English
Journal	Proceedings of the 33rd Annual Conference of the Cognitive Science Society
Volume	33
State	Published - Jul 20 2011

Keywords

Change detection
Eye tracking
Visual salience

DC Disciplines

Psychiatry and Psychology
Psychology

Access to Document

https://mindmodeling.org/cogsci2011/papers/0384/index.html

Cite this

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title = "Visual Attention and Change Detection",

abstract = " Studies suggest that visual attention, guided in part by features{\textquoteright} visual salience, is necessary for change detection. An image processing algorithm was used for measuring the visual salience of the features of scenes, and participants{\textquoteright} ability to detect changes made to high and low salience features was measured with a flicker paradigm while their eye movements were recorded. Changes to high salience features were fixated sooner, for shorter durations, and were detected faster and with higher accuracy than those made to low salience features. The implications of these results for visual attention and change detection research are discussed.",

keywords = "Change detection, Eye tracking, Visual salience",

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language = "American English",

volume = "33",

journal = "Proceedings of the 33rd Annual Conference of the Cognitive Science Society",

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T1 - Visual Attention and Change Detection

AU - Boyer, Ty W.

AU - Smith, Thomas G.

AU - Yu, Chen

AU - Bertenthal, Bennett I.

PY - 2011/7/20

Y1 - 2011/7/20

N2 - Studies suggest that visual attention, guided in part by features’ visual salience, is necessary for change detection. An image processing algorithm was used for measuring the visual salience of the features of scenes, and participants’ ability to detect changes made to high and low salience features was measured with a flicker paradigm while their eye movements were recorded. Changes to high salience features were fixated sooner, for shorter durations, and were detected faster and with higher accuracy than those made to low salience features. The implications of these results for visual attention and change detection research are discussed.

AB - Studies suggest that visual attention, guided in part by features’ visual salience, is necessary for change detection. An image processing algorithm was used for measuring the visual salience of the features of scenes, and participants’ ability to detect changes made to high and low salience features was measured with a flicker paradigm while their eye movements were recorded. Changes to high salience features were fixated sooner, for shorter durations, and were detected faster and with higher accuracy than those made to low salience features. The implications of these results for visual attention and change detection research are discussed.

KW - Change detection

KW - Eye tracking

KW - Visual salience

UR - https://digitalcommons.georgiasouthern.edu/psych-facpubs/93

UR - https://mindmodeling.org/cogsci2011/papers/0384/index.html

M3 - Article

VL - 33

JO - Proceedings of the 33rd Annual Conference of the Cognitive Science Society

JF - Proceedings of the 33rd Annual Conference of the Cognitive Science Society

ER -

Visual Attention and Change Detection

Abstract

Keywords

DC Disciplines

Access to Document

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