Assessing ChatGPT's accuracy in dyslexia inquiry

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dc.authorid0009-0007-8239-8604
dc.authorid0009-0001-4214-8738
dc.contributor.authorEroğlu, Güneten_US
dc.contributor.authorHarb, Mhd Raja Abouen_US
dc.date.accessioned2025-08-22T10:23:46Z
dc.date.available2025-08-22T10:23:46Z
dc.date.issued2024
dc.departmentIşık Üniversitesi, Lisansüstü Eğitim Enstitüsü, Bilgisayar Mühendisliği Yüksek Lisans Programıen_US
dc.departmentIşık University, School of Graduate Studies, Master’s Program in Computer Engineeringen_US
dc.descriptionTUBITAK 122E085en_US
dc.description.abstractDyslexia poses challenges in accessing reliable information, crucial for affected individuals and their families. Leveraging chatbot technology offers promise in this regard. This study evaluates the OpenAI Assistant's precision in addressing dyslexia-related inquiries. Three hundred questions commonly posed by parents were categorized and presented to the Assistant. Expert evaluation of responses, graded on accuracy and completeness, yielded consistently high scores (median=5). Descriptive questions scored higher (average=4.9568) than yes/no questions (average=4.8957), indicating potential response challenges. Statistical analysis highlighted the significance of question specificity in response quality. Despite occasional difficulties, the Assistant demonstrated adaptability and reliability in providing accurate dyslexia-related information.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu (TÜBİTAK)en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationEroğlu, G. & Harb, M. R. A. (2024). Assessing ChatGPT's accuracy in dyslexia inquiry. Paper presented at the TIPTEKNO 2024 - Medical Technologies Congress, Proceedings, 1-4. doi:10.1109/TIPTEKNO63488.2024.10755435en_US
dc.identifier.doi10.1109/TIPTEKNO63488.2024.10755435
dc.identifier.endpage4
dc.identifier.isbn9798331529819
dc.identifier.isbn9798331529826
dc.identifier.issn2687-7775
dc.identifier.scopus2-s2.0-85212668429
dc.identifier.scopusqualityN/A
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/6644
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO63488.2024.10755435
dc.identifier.wosWOS:001454367500055
dc.identifier.wosqualityN/A
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakConference Proceedings Citation Index – Science (CPCI-S)en_US
dc.institutionauthorHarb, Mhd Raja Abouen_US
dc.institutionauthorid0009-0001-4214-8738
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofTIPTEKNO 2024 - Medical Technologies Congress, Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial intelligenceen_US
dc.subjectChatGPTen_US
dc.subjectDeep learningen_US
dc.subjectDyslexiaen_US
dc.subjectLarge language modelen_US
dc.subjectNatural language processingen_US
dc.subjectAmbient intelligenceen_US
dc.subjectModeling languagesen_US
dc.subjectNatural language processing systemsen_US
dc.subjectChatbotsen_US
dc.subjectDyslexiumen_US
dc.subjectExpert evaluationen_US
dc.subjectLanguage modelen_US
dc.subjectLanguage processingen_US
dc.subjectNatural languagesen_US
dc.subjectContrastive learningen_US
dc.titleAssessing ChatGPT's accuracy in dyslexia inquiryen_US
dc.typeConference Objecten_US
dspace.entity.typePublicationen_US

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