DOSTÁLOVÁ, Nicol, Čeněk ŠAŠINKA, Jiří ČENĚK and Roman ŠVAŘÍČEK. UNRAVELING THE SECRETS OF DYSLEXIA WITH ADVANCED EYE-TRACKING DATA ANALYSES. In 16th International Conference of Education, Research and Innovation. 2023. Available from: https://dx.doi.org/10.21125/iceri.2023.
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Basic information
Original name UNRAVELING THE SECRETS OF DYSLEXIA WITH ADVANCED EYE-TRACKING DATA ANALYSES
Authors DOSTÁLOVÁ, Nicol, Čeněk ŠAŠINKA, Jiří ČENĚK and Roman ŠVAŘÍČEK.
Edition 16th International Conference of Education, Research and Innovation, 2023.
Other information
Original language English
Type of outcome Presentations at conferences
Field of Study 50301 Education, general; including training, pedagogy, didactics [and education systems]
Country of publisher Spain
Confidentiality degree is not subject to a state or trade secret
Organization unit Faculty of Arts
Doi http://dx.doi.org/10.21125/iceri.2023
Keywords in English eye tracking; dyslexia; reading; eye-tracking methods; eye-tracking analysis
Tags International impact, Reviewed
Changed by Changed by: doc. Mgr. Čeněk Šašinka, Ph.D., učo 44276. Changed: 24/3/2024 22:04.
Abstract
Dyslexia, a specific learning disorder characterized by reading difficulties, including spelling errors and word decoding challenges, poses significant obstacles for dyslexic children in accessing text-based information available today. This limitation not only negatively impacts their self-esteem and reading motivation but also hinders their educational development. Several theories try to explain the neurobiological origin of dyslexia and some of them are closely related to the visual perception and eye movements while reading. Eye movements can be measured via eye-tracking technology. Eye-tracking can provide eye movements recordings of the reading process and offers new opportunities for screening and diagnosing dyslexia. Eye-tracking technology presents a unique advantage as it allows researchers to delve beyond observable human behavior, such as error rates and reading speed, to gain more comprehensive insights into the entire reading process. However, described advantages of eye-tracking technology are a big challenge of researchers to design appropriate tasks to avail this technological potential. In this research, we propose several methods for in-depth analysis of the reading process in dyslexia. The main aim of this paper is to present and discuss the design of suitable tasks, potential eye-tracking metrics, and various statistical approaches for analyzing eye-tracking data in dyslexia research. This information can lead to more sophisticated research designs for the dyslexia investigation and subsequently, improve the learning and educational processes of dyslexic children.
Links
TL05000177, research and development projectName: Diagnostika dyslexie s využitím eye-trackingu a umělé inteligence (Acronym: DYSLEX)
Investor: Technology Agency of the Czech Republic
TQ01000037, research and development projectName: Reedukace dyslexie a rozvoj čtenářských dovedností s využitím eye-trackingu
Investor: Technology Agency of the Czech Republic, Reeducation of dyslexia and development of reading abilities based on eye-tracking technology, DC3 - SHUV
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