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Anna E. Hughes, Rosy V. Southwell, Iain D. Gilchrist, David J. Tolhurst; Quantifying peripheral and foveal perceived differences in natural image patches to predict visual search performance. Journal of Vision 2016;16(10):18. https://doi.org/10.1167/16.10.18.
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© ARVO (1962-2015); The Authors (2016-present)
Duncan and Humphreys (1989) identified two key factors that affected performance in a visual search task for a target among distractors. The first was the similarity of the target to distractors (TD), and the second was the similarity of distractors to each other (DD). Here we investigate if it is the perceived similarity in foveal or peripheral vision that determines performance. We studied search using stimuli made from patches cut from colored images of natural objects; differences between targets and their modified distractors were estimated using a ratings task peripherally and foveally. We used search conditions in which the targets and distractors were easy to distinguish both foveally and peripherally (“high” stimuli), in which they were difficult to distinguish both foveally and peripherally (“low”), and in which they were easy to distinguish foveally but difficult to distinguish peripherally (“metamers”). In the critical metameric condition, search slopes (change of search time with number of distractors) were similar to the “low” condition, indicating a key role for peripheral information in visual search as both conditions have low perceived similarity peripherally. Furthermore, in all conditions, search slope was well described quantitatively from peripheral TD and DD but not foveal. However, some features of search, such as error rates, do indicate roles for foveal vision too.
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