%0 Journal Article
%T Psychophysical evaluation of individual low-level feature influences on visual attention
%A David Berga
%A Xose R. Fernandez-Vidal
%A Xavier Otazu
%A V. Leboran
%A Xose M. Pardo
%J Vision Research
%D 2019
%V 154
%F David Berga2019
%O NEUROBIT; 600.128; 600.120
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=3274), last updated on Tue, 25 Jan 2022 11:55:25 +0100
%X In this study we provide the analysis of eye movement behavior elicited by low-level feature distinctiveness with a dataset of synthetically-generated image patterns. Design of visual stimuli was inspired by the ones used in previous psychophysical experiments, namely in free-viewing and visual searching tasks, to provide a total of 15 types of stimuli, divided according to the task and feature to be analyzed. Our interest is to analyze the influences of low-level feature contrast between a salient region and the rest of distractors, providing fixation localization characteristics and reaction time of landing inside the salient region. Eye-tracking data was collected from 34 participants during the viewing of a 230 images dataset. Results show that saliency is predominantly and distinctively influenced by: 1. feature type, 2. feature contrast, 3. temporality of fixations, 4. task difficulty and 5. center bias. This experimentation proposes a new psychophysical basis for saliency model evaluation using synthetic images.
%K Visual attention
%K Psychophysics
%K Saliency
%K Task
%K Context
%K Contrast
%K Center bias
%K Low-level
%K Synthetic
%K Dataset
%U https://doi.org/10.1016/j.visres.2018.10.006
%U http://refbase.cvc.uab.es/files/BFO2019a.pdf
%P 60-79