Berga, DavidFernández Vidal, Xosé RamónOtazu, XavierLeborán, VíctorPardo López, Xosé Manuel2025-01-072025-01-072019Berga, 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.2018.10.0060042-6989https://hdl.handle.net/10347/38367This 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.2018.10.006In 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 imagesengAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Visual attentionPsychophysicsSaliencyTaskContextContrastCenter biasLow-levelSyntheticDatasetjournal article10.1016/j.visres.2018.10.006open access