Psychophysical evaluation of individual low-level feature influences on visual attention

David Berga, Xosé R. Fdez-Vidal, Xavier Otazu, Víctor Leborán, Xosé M. Pardo

Research output: Contribution to journalArticleResearch

7 Citations (Scopus)


© 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 languageEnglish
Pages (from-to)60-79
JournalVision Research
Publication statusPublished - 1 Jan 2019


  • Center bias
  • Context
  • Contrast
  • Dataset
  • Low-level
  • Psychophysics
  • Saliency
  • Synthetic
  • Task
  • Visual attention


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