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Updated: Oct 10, 2025

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
Published on: January 10, 2014
Eye-tracking as a proxy for coherence and complexity of texts
Débora Torres1, Wagner R Sena1, Humberto A Carmona1
1Departamento de Física, Universidade Federal do Ceará, Fortaleza, Ceará, Brazil.
Eye-tracking during reading reveals that text complexity correlates with fixation patterns. Coherent texts exhibit distinct reading dynamics, suggesting subjective text properties influence visual behavior.
Area of Science:
- Cognitive Science
- Neuroscience
- Human-Computer Interaction
Background:
- Reading is a complex cognitive process involving oculomotor control, attention, and language processing.
- Eye movements during reading consist of saccades and fixations, with information captured during fixations.
- Text properties like form, content, and style may influence individual reading behaviors and eye-movement patterns.
Purpose of the Study:
- To investigate the correlation between eye-tracking patterns and subjective text properties.
- To determine if eye-tracking can serve as a proxy for text complexity and coherence.
- To explore the relationship between text characteristics and reading behavior.
Main Methods:
- Conducted eye-tracking experiments with participants reading diverse text types (children's stories, random words, literature).
- Performed an extensive internet survey to categorize texts by complexity and coherence across various demographics.
- Utilized computational analysis of fixation maps and thermodynamic analysis with the Maximum-Entropy Model.
Main Results:
- A strong correlation was found between the "magnetization" of fixation configurations and text complexity.
- Coherent texts were identified as being closer to their "critical points" compared to non-coherent texts.
- Distinct reading activities were suggested to be induced by different text types.
Conclusions:
- Eye-tracking fixation patterns can quantitatively reflect text complexity.
- Thermodynamic analysis using the Maximum-Entropy Model provides insights into text coherence and reading engagement.
- Reading behavior, as measured by eye-tracking, is influenced by the subjective properties of a text.
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