How spatial frequencies and color drive object search in real-world scenes: A new eye-movement corpus
Anke Cajar, Ralf Engbert, Jochen Laubrock

TL;DR
This study investigates how spatial frequencies and color influence object search in real-world scenes, revealing the distinct roles of peripheral and central vision in localization and identification tasks.
Contribution
It introduces a gaze-contingent filtering method to dissect the roles of spatial frequencies and color in visual search, highlighting the importance of peripheral low-frequency color information and central high-frequency details.
Findings
Peripheral filters and central high-pass filters minimally affect search accuracy.
Central low-pass filters significantly reduce search accuracy.
Peripheral filtering affects search time and fixation patterns.
Abstract
When studying how people search for objects in scenes, the inhomogeneity of the visual field is often ignored. Due to physiological limitations peripheral vision is blurred and mainly uses coarse-grained information (i.e., low spatial frequencies) for selecting saccade targets, whereas high-acuity central vision uses fine-grained information (i.e., high spatial frequencies) for analysis of details. Here we investigated how spatial frequencies and color affect object search in real-world scenes. Using gaze-contingent filters we attenuated high or low frequencies in central or peripheral vision while viewers searched color or grayscale scenes. Results showed that peripheral filters and central high-pass filters hardly affected search accuracy, whereas accuracy dropped drastically with central low-pass filters. Peripheral filtering increased the time to localize the target by decreasing…
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