Area activation: a computational model of saccadic selectivity in visual search

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The Area Activation Model of Saccadic Selectivity in Visual Search

We present an approach towards a simple, explicit model of saccadic selectivity in visual search tasks. The model in its present state includes weights for target-distractor similarities and fixation field size as its only adjustable parameters. Based on these, the model predicts the statistical distribution of saccadic endpoints for any given visual search display. Besides providing an explici...

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The Area Activation Model (Pomplun, Reingold, Shen, & Williams, 2000) is a computational model predicting the statistical distribution of saccadic endpoints in visual search tasks. Its basic assumption is that saccades in visual search tend to foveate display areas that provide a maximum amount of taskrelevant information for processing during the subsequent fixation. In the present study, a co...

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ژورنال

عنوان ژورنال: Cognitive Science

سال: 2003

ISSN: 0364-0213

DOI: 10.1016/s0364-0213(03)00003-x