2024
ETDD70 : Eye-Tracking Dyslexia Dataset
DOSTÁLOVÁ, Nicol; Roman ŠVAŘÍČEK; Jan SEDMIDUBSKÝ; Wolf CULEMANN; Čeněk ŠAŠINKA et al.Základní údaje
Originální název
ETDD70 : Eye-Tracking Dyslexia Dataset
Autoři
DOSTÁLOVÁ, Nicol; Roman ŠVAŘÍČEK; Jan SEDMIDUBSKÝ; Wolf CULEMANN; Čeněk ŠAŠINKA; Pavel ZEZULA a Jiří ČENĚK
Vydání
2024
Další údaje
Jazyk
angličtina
Typ výsledku
Projekty výzkumu a vývoje
Obor
50300 5.3 Education
Stát vydavatele
Česká republika
Utajení
není předmětem státního či obchodního tajemství
Odkazy
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14210/24:00139838
Organizační jednotka
Filozofická fakulta
Klíčová slova anglicky
dyslexia; eye-tracking; dataset
Štítky
Změněno: 31. 3. 2025 02:00, Mgr. Bc. Libor Juhaňák, Ph.D.
Anotace
V originále
The ETDD70 dataset comprises eye-tracking recordings from 70 Czech participants, equally divided into dyslexic and non-dyslexic readers, all aged 9–10 years. The dataset captures eye movements during three text-reading tasks in Czech: syllable reading (Task 1), meaningful text reading (Task 4), and pseudo-text reading (Task 5). This dataset is the result of the project “Diagnostics of Dyslexia Using Eye-Tracking and Artificial Intelligence” conducted by our research team. The project aims to leverage artificial intelligence tools and advanced technical equipment (eye tracking) to more effectively diagnose dyslexia, one of the most common specific learning disorders, and thereby significantly improve re-education strategies for dyslexic students. The primary goal is to develop models that accurately distinguish between dyslexic and non-dyslexic readers based on eye movement patterns recorded during these tasks. Data collection took place between October 2022 and August 2023, adhering to ethical standards. The project was approved by the Research Ethics Committee of Masaryk University in Brno, Czech Republic.
Návaznosti
| TL05000177, projekt VaV |
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