Publication: Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models
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Haller, P., Säuberli, A., Kiener, S. E., Pan, J., Yan, M., & Jäger, L. A. (2022). Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models. Proceedings of the Workshop on Text Simplification, Accessibility, and Readability, 111–118. https://aclanthology.org/2022.tsar-1.10/
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Eye movements are known to reflect cognitive processes in reading, and psychological reading research has shown that eye gaze patterns differ between readers with and without dyslexia. In recent years, researchers have attempted to classify readers with dyslexia based on their eye movements using Support Vector Machines (SVMs). However, these approaches (i) are based on highly aggregated features averaged over all words read by a participant, thus disregarding the sequential nature of the eye movements, and (ii) do not consider the li
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Haller, P., Säuberli, A., Kiener, S. E., Pan, J., Yan, M., & Jäger, L. A. (2022). Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models. Proceedings of the Workshop on Text Simplification, Accessibility, and Readability, 111–118. https://aclanthology.org/2022.tsar-1.10/
