RT Journal Article
T1 Psychophysical evaluation of individual low-level feature influences on visual attention
A1 Berga, David
A1 Fernández Vidal, Xosé Ramón
A1 Otazu, Xavier
A1 Leborán, Víctor
A1 Pardo López, Xosé Manuel
K1 Visual attention
K1 Psychophysics
K1 Saliency
K1 Task
K1 Context
K1 Contrast
K1 Center bias
K1 Low-level
K1 Synthetic
K1 Dataset
AB 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
PB Elsevier
SN 0042-6989
YR 2019
FD 2019
LK https://hdl.handle.net/10347/38367
UL https://hdl.handle.net/10347/38367
LA eng
NO Berga, D., Fdez-Vidal, X. R., Otazu, X., Leborán, V., & Pardo, X. M. (2019). Psychophysical evaluation of individual low-level feature influences on visual attention. Vision Research, 154(1) 60–79. https://doi.org/10.1016/j.visres.2018.10.006
NO This is the author´s versión of the work: Berga, D., Fdez-Vidal, X. R., Otazu, X., Leborán, V., & Pardo, X. M. (2019). Psychophysical evaluation of individual low-level feature influences on visual attention. Vision Research, 154(1) 60–79. https://doi.org/10.1016/j.visres.2018.10.006
NO This work was funded by the Spanish Ministry of Economy and Competitivity (DPI2017-89867-C2-1-R and TIN2015-71130-REDT), Agencia de Gestió d’Ajuts Universitaris i de Recerca (AGAUR) (2017- SGR-649), and CERCA Programme/Generalitat de Catalunya
DS Minerva
RD 23 abr 2026