Detailed Information on Publication Record
2024
Diagnostics of dyslexia using eye-tracking and artificial intelligence
ŠVAŘÍČEK, RomanBasic information
Original name
Diagnostics of dyslexia using eye-tracking and artificial intelligence
Authors
Edition
Erasmus+ přednáška na University of Jyväskylä, 2024
Other information
Language
English
Type of outcome
Vyžádané přednášky
Field of Study
50300 5.3 Education
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Organization unit
Faculty of Arts
Keywords in English
dyslexia; eye-tracking; artificial intelligence
Změněno: 11/5/2024 22:23, Mgr. Roman Švaříček, Ph.D.
Abstract
V originále
This study explores an innovative approach to diagnosing dyslexia, integrating eye-tracking technology and artificial intelligence (AI) to enhance diagnostic accuracy and efficiency. Traditional methods of diagnosing dyslexia often rely on subjective assessments and standardized test batteries, which may not fully capture the nuances of individual eye movement patterns. By utilizing eye-tracking data, this research identifies distinct patterns in reading behavior that differentiate dyslexic readers from non-dyslexic readers, such as increased fixation durations and more frequent regressions. AI algorithms, particularly convolutional neural networks, are employed to analyze these patterns, achieving classification accuracies around 90%. This approach not only offers a more objective basis for diagnosis but also provides insights into the specific challenges faced by dyslexic readers, facilitating more personalized intervention strategies. The findings suggest potential for broader application in psychological assessments and educational settings, aiming for early and accurate identification of dyslexia to better support affected individuals.
Links
| TL05000177, research and development project |
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