Papers by Anastasiya Lopukhina
Automatic detection of dyslexia based on eye movements during reading in Russian (2025.acl-short)
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| Challenge: | Existing screening tests for dyslexia are time- and resource-consuming . early diagnosis is key for learning disabilities, but eye tracking technology is promising . |
| Approach: | They propose to automatically classify dyslexia based on eye movements recorded during natural reading combined with basic demographic information and linguistic features. |
| Outcome: | The proposed model outperforms the state-of-the-art model by 7 % and has an AUC of 0.93 . the focus features matter the most for classification, the authors show . |