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Neuronavigation Skill Training Through Simulation: Insights From Eye Data

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dc.contributor.author Çağıltay, Nergiz
dc.contributor.author Topallı, Damla
dc.contributor.author Börcek, Alp Özgün
dc.contributor.author Tokdemir, Gül
dc.contributor.author Maraş, Hadi Hakan
dc.contributor.author Tombul, Gökçen
dc.contributor.author Aydın, Elif
dc.date.accessioned 2020-04-06T20:57:34Z
dc.date.available 2020-04-06T20:57:34Z
dc.date.issued 2016
dc.identifier.citation Cagiltay, N. E...et al., "Neuronavigation Skill Training Through Simulation: Insights From Eye Data", 9th Annual International Conference of Education, Research and Innovation (iCERi), pp. 1666, 1673, (2016). tr_TR
dc.identifier.issn 2340-1095
dc.identifier.uri http://hdl.handle.net/20.500.12416/2936
dc.description.abstract Neuronavigation systems are developed to support the brain surgery operations. Because of its complex anatomical structure, the neurosurgery is a risky and critical operation. The surgeon is required to perform the operation in a very small area with very restricted movements. The neuronavigation systems are developed to help the surgeon during the operation to show the current position of the surgery with respect to the 3D virtual model of the patient. In these systems, the 3D virtual model of the patient is created according to the medical data (MRI/BT) of the patient. Hence these systems work like navigations systems that are used in driving a car. The surgeon uses this system by controlling the system through a software interface and its user interface and correlates the current position of the operation with the 3D patient virtual model. In this way the surgeon checks the critical anatomical structures through this system and eliminates possible risks. Hence surgeons who will perform such operations are required to develop several skills to manage this very complicated environment. They are required to perform the operation according to the information coming from the navigation display. Additionally, in order to reach relevant information from the navigation display they have to control the navigation panel. In order to prepare surgeons to manage this very complicated environment, their required skills need to be improved during the training period. In this study, to better understand the surgeons' behaviours while managing the tasks related to the surgical navigation procedures, a simulation based environment is developed and an experimental study is conducted with 10 people. Their eye data and their performance data is recorded based on the simulated tasks. The results of the study is analysed statistically and descriptively. The results show that it is possible to control a neuronavigation display through eye movements which could be an alternative human-computer interaction option for designing the neuronavigation systems' user interfaces. Secondly, it is shown that performing a task according to the results of a second information source (neuronavigation system) lowers the general performance in terms of travelled distance with the operation tool and camera (endoscope). However the success level while performing each task and the time spent values are similar in both cases. On the other hand the number of errors is higher in the first scenario. Hence, the surgical education programs need to provide appropriate solutions to better understand and measure the skill levels of trainees on such tasks and to improve their skills through virtual practice systems. tr_TR
dc.language.iso eng tr_TR
dc.publisher Iated-Int Assoc Technology Education A& Development tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Neuronavigation System tr_TR
dc.subject Virtual Simulation tr_TR
dc.subject Surgical Training tr_TR
dc.title Neuronavigation Skill Training Through Simulation: Insights From Eye Data tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 9th Annual International Conference of Education, Research and Innovation (iCERi) tr_TR
dc.contributor.authorID 17411 tr_TR
dc.identifier.startpage 1666 tr_TR
dc.identifier.endpage 1673 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


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