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Related Experiment Video

Updated: Jun 3, 2026

A Method to Quantify Visual Information Processing in Children Using Eye Tracking
09:47

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Evaluating the human ongoing visual search performance by eye tracking application and sequencing tests.

Giacomo Veneri1, Elena Pretegiani, Francesca Rosini

  • 1Eye Tracking & Vision Applications Lab, Department of Neurological Neurosurgical and Behavioral Science, University of Siena, Viale Bracci 2, Siena, Italy. g.veneri@unisi.it

Computer Methods and Programs in Biomedicine
|April 2, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a mathematical model to analyze visual search during a complex cognitive task. The "eight pointed star" model reveals how gaze selection is influenced by task difficulty and distractors.

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Area of Science:

  • Cognitive Science
  • Neuroscience
  • Human-Computer Interaction

Background:

  • Human visual search is fundamental for real-world exploration.
  • Selecting visual information guides gaze shifts to targets.
  • High cognitive load tasks present unique challenges for visual selection.

Purpose of the Study:

  • To develop a mathematical method for evaluating visual selection during cognitively demanding tasks.
  • To adapt the Trial Making Test Part B (TMT) for eye-tracking analysis.
  • To investigate the interplay between top-down cognitive factors and bottom-up visual saliency in guiding visual search.

Main Methods:

  • Utilized an eye-tracking version of the Trial Making Test Part B (TMT).
  • Employed a vector model, the "eight pointed star" (8PS), to analyze fixation and saccade patterns.
  • Quantified visual selection processes in relation to task demands and performance.

Main Results:

  • Identified a trend where fixations moved away from previous points.
  • This trend correlated with the number of distractors present in the task.
  • Execution performance also showed a correlation with this gaze away trend.

Conclusions:

  • The "eight pointed star" (8PS) model effectively evaluates visual selection during complex cognitive tasks.
  • Top-down factors and bottom-up saliency interact to guide visual exploration.
  • Task difficulty, indicated by distractors and performance, influences visual search strategies.