Abstract
Speed of classification was measured with a filtering task (only one dimension relevant) and a condensation task (two dimensions relevant) with integral dimensions of Munsell value and chroma and separable dimensions of value and size. The filtering task was easier with separable than with integral dimensions, but the condensation task was easier with integral than with separable dimensions. The results emphasize the importance of dimensional structure with separable dimensions and similarity or distance structure with integral dimensions.
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