Theory of attentional operations in shape identification.

Abstract

This article presents a theory of selective attention that is intended to account for the identification of a visual shape in a cluttered display. The selected area of attention is assumed to be controlled by a filter that operates on the location information in a display. The location information selected by the filter in turn determines the feature information that is to be identified. Changes in location of the selected area are assumed to be governed by a gradient of processing resources. Data from three new experiments are fit more parsimoniously by a gradient model than by a moving-spotlight model. The theory is applied to experiments in the recent literature concerned with precuing locations in the visual field, and to the issue of attentional and automatic processing in the identification of words. Finally, data from neuroanatomical experiments are reviewed to suggest ways that the theory might be realized in the primate brain. The identification of shapes and objects in the environment plays an important adaptive role in our daily, moment-to-moment activities. A typical visual scene contains many objects, but there is a limit on the number of objects that we can process at one time. This limitation implies that, at some stage or stages

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