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Related Experiment Video

Updated: Dec 22, 2025

A Method to Quantify Visual Information Processing in Children Using Eye Tracking
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Graph-Based Analysis of Visual Scanning Patterns: A Developmental Study on Green and Normal Images.

Padideh Yazdan-Shahmorad1, Negar Sammaknejad1, Fatemeh Bakouie2

  • 1Institute for Cognitive and Brain Sciences, Shahid Beheshti University, Tehran, 19839-63113, Iran.

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Summary

Visual scanning patterns in children aged 4-10 reveal that graph theory measures like degree centrality and fixation time increase with age. Green images significantly impact early visual anchoring in younger children.

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Area of Science:

  • Developmental psychology
  • Cognitive neuroscience
  • Computer vision

Background:

  • Understanding visual scanning patterns in children is crucial for developmental research.
  • Previous studies have explored age-associated differences, but novel analytical approaches are needed.

Purpose of the Study:

  • To investigate age-associated visual scanning patterns in typically developing children.
  • To evaluate the efficacy of graph theory (degree centrality) and fixation time analysis for understanding developmental visual patterns.
  • To explore the influence of low-level visual features (Green vs. Normal images) on early visual exploration.

Main Methods:

  • Utilized existing eye-tracking data from children aged 4-10 years, divided into three age groups.
  • Applied graph theory measures, specifically degree centrality, to analyze gaze distribution.
  • Compared early visual phases (0-2s) with later phases (4-6s) of scene exploration.
  • Analyzed the impact of image features (Green vs. Normal) on visual scanning.

Main Results:

  • Degree centrality and fixation time significantly increased with age.
  • The influence of visual saliency was found to be short-lived but significant.
  • Green images played a critical role in visual anchoring during the early phase of exploration.
  • Significant performance differences were observed between the 4-6 year old and 6-8 year old groups.

Conclusions:

  • Graph profiling combined with fixation time analysis offers a robust method for analyzing developmental visual patterns.
  • Degree centrality is a promising innovative measure for eye-tracking data analysis in developmental studies.
  • Visual scanning strategies mature with age, with early visual features influencing attention differently across age groups.