@Article{DavidBerga2019,
author="David Berga
and Xose R. Fernandez-Vidal
and Xavier Otazu
and V. Leboran
and Xose M. Pardo",
title="Psychophysical evaluation of individual low-level feature influences on visual attention",
journal="Vision Research",
year="2019",
volume="154",
pages="60--79",
optkeywords="Visual attention",
optkeywords="Psychophysics",
optkeywords="Saliency",
optkeywords="Task",
optkeywords="Context",
optkeywords="Contrast",
optkeywords="Center bias",
optkeywords="Low-level",
optkeywords="Synthetic",
optkeywords="Dataset",
abstract="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.",
optnote="NEUROBIT; 600.128; 600.120",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=3274), last updated on Tue, 25 Jan 2022 11:55:25 +0100",
opturl="https://doi.org/10.1016/j.visres.2018.10.006",
file=":http://refbase.cvc.uab.es/files/BFO2019a.pdf:PDF"
}