Distractor Heterogeneity versus Linear Separability in Colour Visual Search

Author:

Bauer Ben,Jolicoeur Pierre,Cowan William B1

Affiliation:

1. Department of Computer Science), University of Waterloo, Waterloo, Ontario N2L 3G1, Canada

Abstract

D'Zmura, and Bauer, Jolicoeur, and Cowan demonstrated that a target whose chromaticity was linearly separable from distractor chromaticities was relatively easy to detect in a search display, whereas a target that was not linearly separable from the distractor chromaticities resulted in steep search slopes. This linear separability effect suggests that efficient colour visual search is mediated by a chromatically linear mechanism. Failure of this mechanism leads to search performance strongly influenced by number of search items (set size). In their studies, linear separability was confounded with distractor heterogeneity and thus the results attributed to linear separability were also consistent with the model of visual search proposed by Duncan and Humphreys in which search performance is determined in part by distractor heterogeneity. We contrasted the predictions based on linear separability and on the Duncan and Humphreys model by varying the ratios of the quantities of the two distractors and demonstrated the potent effects of linear separability in a design that deconfounded linear separability and distractor heterogeneity.

Publisher

SAGE Publications

Subject

Artificial Intelligence,Sensory Systems,Experimental and Cognitive Psychology,Ophthalmology

Reference15 articles.

1. Bauer B, Jolicoeur P, Cowan W B, 1995a “A test of the convex hull hypothesis in visual search for colour targets”, in preparation

2. Bauer B, Jolicoeur P, Cowan W B, 1995b “The linear separability effect in colour visual search: Ruling out the additive-colour target hypothesis”, in preparation

3. Visual search for colour targets that are or are not linearly separable from distractors

4. High-contrast sets of colors

5. Calculate (Don't Guess) the Effect of Symbol Size on Usefulness of Color

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