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An efficient technique for exposing visual search strategies with classification images
A. Tavassoli, I. van der Linde, L.K. Cormack and A.C. Bovik
Journal of Perception & Psychophysics
Keywords: visual search, classification images, eye tracking, 1/f noise
Abstract
We propose a novel variant of the classification image paradigm that allows us to rapidly reveal strategies used
by observers in visual search tasks. We make use of eye tracking, 1/f noise, and a grid-like stimulus ensemble
and also introduce a new classification taxonomy that distinguishes between foveal and peripheral processes.
We tested our method for 3 human observers and two simple shapes used as search targets. The classification
images obtained show the efficacy of the proposed method by revealing the features used by the observers in as
few as 200 trials. Using two control experiments, we evaluated the use of naturalistic 1/f noise with classification
images, in comparison with the more commonly used white noise, and compared the performance of our
technique with that of an earlier approach without a stimulus grid.
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