Visual Search as a Combination of Automatic and Attentive Processes


We present a model in which visual search behavior is assumed to result from a combination of controlled, serial search and automatic attraction of attention to target stimuli. The model provides a quantitative framework for how these different processes are combined, and despite a large number of constraints, it is highly successful in accounting for human search behavior at the level of full response time distributions and choice probabilities.

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