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Experiment 1C

Experiment 1C

2021
Abstract
In this experiment, we investigate what kind of object visual properties can be used to divide large sets of objects into different subsets for the independent extraction of statistical features, such as mean size. The accuracy of averaging when subset selection is required will be compared with the baseline accuracies when the target subset is presented alone or when the observer averages the whole set.

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