NDLI: A signal detection model predicts the effects of set size on visual search accuracy for feature, conjunction, triple conjunction, and disjunction displays

Content Provider	Springer Nature Link
Author	Eckstein, Miguel P. Thomas, James P. Palmer, John Shimozaki, Steven S.
Copyright Year	2000
Abstract	Recently, quantitative models based on signal detection theory have been successfully applied to the prediction of human accuracy in visual search for a target that differs from distractors along a single attribute (feature search). The present paper extends these models for visual search accuracy to multidimensional search displays in which the target differs from the distractors along more than one feature dimension (conjunction, disjunction, and triple conjunction displays). The model assumes that each element in the display elicits a noisy representation for each of the relevant feature dimensions. The observer combines the representations across feature dimensions to obtain a single decision variable, and the stimulus with the maximum value determines the response. The model accurately predicts human experimental data on visual search accuracy in conjunctions and disjunctions of contrast and orientation. The model accounts for performance degradation without resorting to a limited-capacity spatially localized and temporally serial mechanism by which to bind information across feature dimensions.
Starting Page	425
Ending Page	451
Page Count	27
File Format	PDF
ISSN	00315117
Journal	Perception & Psychophysics
Volume Number	62
Issue Number	3
e-ISSN	15325962
Language	English
Publisher	Springer-Verlag
Publisher Date	2000-01-01
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Cognitive Psychology
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Sensory Systems Psychology

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