k 2024

Enhancing Diagnostic Precision in Dyslexia: Introducing the DYSLEX Platform

ŠVAŘÍČEK, Roman and Nicol DOSTÁLOVÁ

Basic information

Original name

Enhancing Diagnostic Precision in Dyslexia: Introducing the DYSLEX Platform

Authors

ŠVAŘÍČEK, Roman (203 Czech Republic, guarantor, belonging to the institution) and Nicol DOSTÁLOVÁ (203 Czech Republic, belonging to the institution)

Edition

The International Council on Education for Teaching (ICET), 65th World Assembly, 2022, Braga, Portugal, 2024. 2024

Other information

Language

English

Type of outcome

Prezentace na konferencích

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 Czech)

eye-tracking; dyslexia; reading difficulties

Keywords in English

eye-tracking; dyslexia; reading difficulties

Tags

International impact, Reviewed
Změněno: 18/6/2024 09:32, Mgr. Roman Švaříček, Ph.D.

Abstract

V originále

The presentation, explores an innovative approach to diagnosing dyslexia using eye-tracking technology and artificial intelligence. Utilizing eye-tracking devices and AI algorithms, the research differentiates between dyslexic and non-dyslexic readers, offering a more objective and precise diagnostic method. The findings demonstrate that deep learning models, such as multilayer perceptrons and residual neural networks, can achieve approximately 90% accuracy in classifying dyslexia. The study underscores the potential of AI in transforming traditional diagnostic processes and highlights future steps towards digitizing dyslexia diagnosis in collaboration with psychological counseling centers.

Links

TL05000177, research and development project
Name: Diagnostika dyslexie s využitím eye-trackingu a umělé inteligence (Acronym: DYSLEX)
Investor: Technology Agency of the Czech Republic