A mobile application program that configures right-left hand recognition according to the degree of mental rotation difficulty

dc.contributor.authorDilek, Burcu
dc.contributor.authorTavlı, Elif Yaren
dc.contributor.authorYılmaz, Emre
dc.contributor.authorYaşar, Eray
dc.contributor.authorAkbaş, Senanur
dc.contributor.authorHanoğlu, Lütfü
dc.contributor.authorAkgül, Yusuf Sinan
dc.date.accessioned2025-12-15T11:27:40Z
dc.date.available2025-12-15T11:27:40Z
dc.date.issued2024
dc.departmentİstanbul Medipol Üniversitesi, Sağlık Bilimleri Enstitüsü
dc.departmentİstanbul Medipol Üniversitesi, Tıp Fakültesi, Dahili Tıp Bilimleri Bölümü, Nöroloji Ana Bilim Dalı
dc.description.abstractRight-left discrimination is evaluated with “hand lateralization” and accepted as a criterion of body recognition. In this study, a mobile application assessment method was developed in which the right-left discrimination was categorized within the concept of mental rotation. The objective was to elucidate the variations in users' responses to hand images presented at varying degrees of rotation. Participants' accuracy rates, reaction times, and test completion times were compared across the different difficulty levels in the mobile application. The findings revealed that as the task progressed from easier to more challenging categories, the accuracy rate declined, while both reaction time and test completion time increased. Assessing hand lateralization by presenting a software program where mental rotation tasks are categorized from easy to difficult may guide clinicians to follow the individuals' performance. As a result, clinicians may have a chance to assess their patients’ potential on this performance and to integrate them to a particular therapeutic training program.
dc.description.sponsorshipTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)
dc.identifier.citationDilek, B., Tavlı, E. Y., Yılmaz, E., Yaşar, E., Akbaş, S., Hanoğlu, L. ... Akgül, Y. S. (2024). A mobile application program that configures right-left hand recognition according to the degree of mental rotation difficulty. TIPTEKNO 2024 - Medical Technologies Congress, Proceedings, Bodrum, Türkiye, October 10-12, 2024. http://dx.doi.org/10.1109/TIPTEKNO63488.2024.10755311
dc.identifier.doi10.1109/TIPTEKNO63488.2024.10755311
dc.identifier.isbn9798331529819
dc.identifier.isbn9798331529826
dc.identifier.issn2687-7775
dc.identifier.scopus2-s2.0-85212694430
dc.identifier.urihttp://dx.doi.org/10.1109/TIPTEKNO63488.2024.10755311
dc.identifier.urihttps://hdl.handle.net/20.500.12511/13335
dc.identifier.wosWOS:001454367500026
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAkbaş, Senanur
dc.institutionauthorHanoğlu, Lütfü
dc.institutionauthorid0000-0003-4292-5717
dc.language.isoen
dc.relation.ispartofTIPTEKNO 2024 - Medical Technologies Congress, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.relation.tubitakinfo:eu-repo/grantAgreement/TUBITAK/222S133
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectBody Image
dc.subjectBody Recognition
dc.subjectLaterality Judgment
dc.subjectRight-Left Discrimination
dc.titleA mobile application program that configures right-left hand recognition according to the degree of mental rotation difficulty
dc.typeConference Object

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