Abstract
© 2018 Elsevier Ltd 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.
Original language | English |
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Pages (from-to) | 60-79 |
Journal | Vision Research |
Volume | 154 |
DOIs | |
Publication status | Published - 1 Jan 2019 |
Keywords
- Center bias
- Context
- Contrast
- Dataset
- Low-level
- Psychophysics
- Saliency
- Synthetic
- Task
- Visual attention