A Mobile Application Program that Configures Right-Left Hand Recognition According to the Degree of Mental Rotation Difficulty

dc.contributor.authorDilek, Burcu
dc.contributor.authorTavli, Elif Yaren
dc.contributor.authorYilmaz, Emre
dc.contributor.authorYasar, Eray
dc.contributor.authorOcal, Tugsad
dc.contributor.authorCetinkaya, Okkes
dc.contributor.authorAkbas, Senanur
dc.date.accessioned2025-10-29T11:13:57Z
dc.date.issued2024
dc.departmentGebze Teknik Üniversitesi
dc.description2024 Medical Technologies Congress -- OCT 10-12, 2024 -- Bodrum, TURKIYE
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.sponsorshipIzmir Ekonomi Universitesi
dc.description.sponsorshipScientific and Technological Research Council of Turkiye (TUBITAK) [222S133]
dc.description.sponsorshipTUBITAK
dc.description.sponsorshipThis study was supported by Scientific and Technological Research Council of Turkiye (TUBITAK) under Grant Number 222S133. The authors thank TUBITAK for their Support.
dc.identifier.doi10.1109/TIPTEKNO63488.2024.10755311
dc.identifier.isbn979-8-3315-2981-9
dc.identifier.isbn979-8-3315-2982-6
dc.identifier.issn2687-7775
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO63488.2024.10755311
dc.identifier.urihttps://hdl.handle.net/20.500.14854/7000
dc.identifier.wosWOS:001454367500026
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherIEEE
dc.relation.ispartof2024 Medical Technologies Congress, Tiptekno
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectright-left discrimination
dc.subjectlaterality judgment
dc.subjectbody image
dc.subjectbody recognition
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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