Learning-induced changes in attentional allocation during categorization: a sizable catalog of attention change as measured by eye movements.
Learning how to allocate attention properly is essential for success at many 5 categorization tasks.Advances in our understanding of learned attention are stymied by a chicken-and-egg problem: there are no theoretical accounts of learned attention that predict patterns of eye movements, making data collection difficult to justify, and there are not