@article{BERGA201960, title = "Psychophysical evaluation of individual low-level feature influences on visual attention", journal = "Vision Research", volume = "154", pages = "60 - 79", year = "2019", issn = "0042-6989", doi = "https://doi.org/10.1016/j.visres.2018.10.006", url = "http://www.sciencedirect.com/science/article/pii/S0042698918302207", author = "David Berga and Xosé R. Fdez-Vidal and Xavier Otazu and Víctor Leborán and Xosé M. Pardo", keywords = "Visual attention, Psychophysics, Saliency, Task, Context, Contrast, Center bias, Low-level, Synthetic, 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." }