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A Universal Screening Tool for Dyslexia by a Web-Game and Machine Learning

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dc.contributor.authorRello, Luz
dc.contributor.authorRauschenberge, Maria
dc.contributor.authorBaeza Yates, Ricardo
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2025-03-06T10:09:53Z
dc.date.available2025-03-06T10:09:53Z
dc.date.issued2022-01-03
dc.description.abstractChildren with dyslexia have difficulties learning how to read and write. They are often diagnosed after they fail school even if dyslexia is not related to general intelligence. Early screening of dyslexia can prevent the negative side effects of late detection and enables early intervention. In this context, we present an approach for universal screening of dyslexia using machine learning models with data gathered from a web-based language-independent game. We designed the game content taking into consideration the analysis of mistakes of people with dyslexia in different languages and other parameters related to dyslexia like auditory perception as well as visual perception. We did a user study with 313 children (116 with dyslexia) and train predictive machine learning models with the collected data. Our method yields an accuracy of 0.74 for German and 0.69 for Spanish as well as a F1-score of 0.75 for German and 0.75 for Spanish, using Random Forests and Extra Trees, respectively. We also present the game content design, potential new auditory input, and knowledge about the design approach for future research to explore Universal screening of dyslexia. universal screening with language-independent content can be used for the screening of pre-readers who do not have any language skills, facilitating a potential early intervention.
dc.description.peerreviewedyes
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationRauschenberger M, Baeza-Yates R, Rello L. A universal screening tool for dyslexia by a web-game and machine learning. Front Comput Sci. 2022;3:628634. http://dx.doi.org/10.3389/fcomp.2021.628634
dc.identifier.doihttp://dx.doi.org/10.3389/fcomp.2021.628634
dc.identifier.issn2624-9898
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3630
dc.journal.titleFrontiers of Computer Science
dc.language.isoen
dc.page.total16
dc.publisherFrontiers
dc.relation.departmentInformation Systems & Technology
dc.relation.entityIE University
dc.relation.schoolIE Business School
dc.rightsAttribution 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/deed
dc.subject.keywordDyslexia
dc.subject.keywordScreening tool
dc.subject.keywordGame
dc.subject.keywordMachine learning
dc.subject.keywordGerman
dc.subject.keywordSpanish
dc.subject.keywordStudy setup
dc.subject.keywordOnline experiment
dc.titleA Universal Screening Tool for Dyslexia by a Web-Game and Machine Learning
dc.typeinfo:eu-repo/semantics/article
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dc.volume.number3
dspace.entity.typePublication
relation.isAuthorOfPublication348a5d9a-4c60-4460-80fc-af50929eabd3
relation.isAuthorOfPublication.latestForDiscovery348a5d9a-4c60-4460-80fc-af50929eabd3
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