LAUSR

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.