Simulation-based environments for surgical practice

dc.authorscopusid57201658878
dc.authorscopusid16237826800
dc.authorscopusid26424777100
dc.authorscopusid56875440000
dc.contributor.authorDalveren,G.G.M.
dc.contributor.authorÇağıltay,N.E.
dc.contributor.authorÖzçelik,E.
dc.contributor.authorMaraş,H.
dc.contributor.otherComputer Engineering
dc.contributor.otherInformation Systems Engineering
dc.date.accessioned2024-07-05T15:45:10Z
dc.date.available2024-07-05T15:45:10Z
dc.date.issued2017
dc.departmentAtılım Universityen_US
dc.department-tempDalveren G.G.M., Dept. of Software Engineering, Atılım University, Ankara, Turkey; Çağıltay N.E., Dept. of Software Engineering, Atılım University, Ankara, Turkey; Özçelik E., Dept. of Psychology, Dept. of Computer Engineering, Çankaya University, Ankara, Turkey; Maraş H., Dept. of Psychology, Dept. of Computer Engineering, Çankaya University, Ankara, Turkeyen_US
dc.description.abstractModeling and simulation environments provide several insights about the real situations such as endoscopic surgery. Endoscopic surgery requires both hand skills, so, understanding the effect of using dominant or non dominant hand on mental workload is important to better design, develop and implement modeling and simulation environments to support real-life implementations of surgical procedures. This experimental study presents a simulation application of eye-tracking approach to understand mental workload in different hand conditions: dominant hand, non-dominant hand and both hand. The results of the study show that, performing simulated surgical tasks by both hands compared to dominant hand, increases mental workload which is evident by higher pupil size. Accordingly, to manage the mental-load problems of surgeons while performing complex tasks that require both hand usage simulation-based environments can be used. Consequently, collection of detailed information such as eye-data, can give several insights about the behaviors of the surgeons. Also, their required skills can be improved by development of simulation and training environments. © 2017 IEEE.en_US
dc.description.sponsorshipTUBITAK 1001; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK, (112K287)en_US
dc.identifier.citation7
dc.identifier.doi10.1109/CoDIT.2017.8102755
dc.identifier.endpage1156en_US
dc.identifier.isbn978-150906465-6
dc.identifier.scopus2-s2.0-85045539120
dc.identifier.startpage1153en_US
dc.identifier.urihttps://doi.org/10.1109/CoDIT.2017.8102755
dc.identifier.urihttps://hdl.handle.net/20.500.14411/3852
dc.identifier.volume2017-Januaryen_US
dc.institutionauthorDalveren, Gonca Gökçe Menekşe
dc.institutionauthorÖzçelik, Erol
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2017 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 -- 4th International Conference on Control, Decision and Information Technologies, CoDIT 2017 -- 5 April 2017 through 7 April 2017 -- Barcelona -- 132347en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEye-trackingen_US
dc.subjectMental workloaden_US
dc.subjectModelingen_US
dc.subjectSimulationen_US
dc.subjectSurgical skill levelsen_US
dc.subjectTrainingen_US
dc.titleSimulation-based environments for surgical practiceen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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