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PLoS Computational BiologyNeurosciencePeer-reviewed journal article

The relative contribution of color and material in object selection

Ana RadonjićiD, Nicolas P. CottarisiD, David H. BrainardiD

PDFDOIPreprint

Abstract

Information about color, material, texture and shape guide how we interact with objects. We developed a paradigm that quantifies how two object properties (color and material) combine in object selection. On each experimental trial, observers viewed three blob-shaped objects -- the target and two tests -- and selected the test that was more similar to the target. Across trials the target was fixed while the tests varied in color and material. We present a novel observer model that allows us to describe observers selection data in terms of (1) the underlying perceptual stimulus representation and (2) a color-material weight, which quantifies the relative importance of color vs. material in selection. We document large individual differences in the color-material weight. Furthermore, our analyses reveal limits on how precisely selection data simultaneously constrain perceptual representations and the color-material weight. These limits should guide future efforts towards understanding the multidimensional nature of object perception.

Citations
9
FWCI
0.87
Field percentile
top 29%

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David H. Brainard, Nicolas P. Cottaris, Ana Radonjić·Interface Focus·Jan 6, 2018· 27 citations