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Updated: Jan 21, 2026

Investigating the Deployment of Visual Attention Before Accurate and Averaging Saccades via Eye Tracking and Assessment of Visual Sensitivity
Published on: March 18, 2019
Experimental test of Bayesian saccade targeting under reversed reading direction
Johan Chandra1, André Krügel2, Ralf Engbert2
1Department of Psychology & Cognitive Science Program, University of Potsdam, Am Neuen Palais 10, 14469, Potsdam, Germany. johan.chandra@uni-potsdam.de.
Reading German text from right to left improves eye movement accuracy by reducing random and systematic errors in saccadic landing positions. This enhances visual information processing during reading.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Computational Linguistics
Background:
- Reading involves rapid eye movements (saccades) to process visual information.
- Oculomotor accuracy during reading is limited, showing random errors and systematic over/undershoot of word centers.
- These errors are influenced by saccade length.
Purpose of the Study:
- To investigate methods for reducing both random and systematic eye movement errors during reading.
- To test a Bayesian model of saccade planning using experimental data.
- To identify the factors contributing to improved oculomotor accuracy.
Main Methods:
- Participants (N=32) read German texts presented from right to left.
- Eye movements were tracked to analyze saccadic landing positions.
- Experimental data were used to validate a Bayesian saccade planning model.
Main Results:
- Reading right-to-left significantly reduced both random and systematic saccadic landing position errors.
- Experimental data aligned with the predictions of the Bayesian saccade planning model.
- A more precise sensory likelihood was identified as the key factor explaining error reduction.
Conclusions:
- Reading direction impacts oculomotor control and reading accuracy.
- Bayesian models can effectively predict and explain eye movement behavior during reading.
- Enhanced sensory likelihood in reading tasks can improve visual information processing efficiency.
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