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Published September 2000 | Published
Journal Article Open

Performance asymmetries in visual search demonstrate failure of independent-processing models

Abstract

We report psychophysical data from orientation-popout experiments that are inconsistent with a rather general decision model. Stimuli consisted of 121 line segments arranged on an 11×11 grid. There were two tasks: in the 1-Singleton Task all lines except one had the same orientation, and observers had to report which quadrant contained the singleton. In the 3-Singleton Task three quadrants contained orientation singletons and observers had to identify the quadrant without singleton. These tasks can be viewed as asymmetric search tasks, in which either a singleton-quadrant has to be found among three homogeneous quadrants, or a homogeneous quadrant has to be found among three singleton-quadrants. Using tools from signal-detection theory we show that the large performance asymmetries between 1-Singleton and 3-Singleton Tasks are inconsistent with any model that makes two (very basic and common) assumptions: (1) independent processing of the four quadrants and (2) an ideal-observer decision. We conclude that at least one of the two assumptions is inadequate. As a plausible reason for the model failure we suggest a global competition between salient elements that reduces popout strength when more than one singleton is present.

Additional Information

Received 28 June 1999; received in revised form 12 January 2000. © 2000 Elsevier Science Ltd. We would like to thank Marc Repnow for developing the C library that was used in these experiments, and for his assistance in various computer-related problems; Christoph Zenger for stimulating discussions and an outline of the proof presented in Appendix A; and Steffen Egner and Oliver Landolt for their comments on an earlier version of this manuscript. Financial support was provided by the German Research Council (DFG: Forschergruppe Neuroophthalmologie and SF13 517) and by Caltech's Division of Biology.

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September 15, 2023
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October 23, 2023