Scopus İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651
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Article A Metaverse-Based Fully Immersive Training for Temporomandibular Joint: A Pilot Study(Wiley, 2026) Ozcelik, Erol; Ekici, Saliha Zerdali; Basmaci, Fulya; Cagiltay, Nergiz Ercil; Kilicarslan, Mehmet AliObjective Understanding the temporomandibular joint (TMJ) can be challenging with conventional methods, as its complex anatomy, comprising the articular disc, mandibular condyle, and temporal bone, requires detailed visualisation. Traditional approaches like textbooks and static images often fall short, whereas modern tools such as 3D modelling and virtual reality (VR) offer more effective alternatives. Metaverse technology further enhances this by creating interactive, immersive and collaborative learning environments that simulate real-world experiences. While VR is increasingly used in dental education, research on fully immersive metaverse-based learning remains limited.Methods In this pilot study, a custom metaverse environment was developed to teach TMJ concepts. Then, the effectiveness of conventional and metaverse-based teaching methods in improving dental students' understanding of the TMJ was evaluated experimentally. A randomised trial was conducted with 120 first-year dental students, divided into three groups: classical lecturing, metaverse-based training and a combination of both.Results Findings indicate that students in the metaverse and combined groups outperformed those in the classical lecturing group, with no significant difference between the two metaverse-involved groups.Conclusions This suggests that for highly complex anatomical structures like the TMJ, metaverse-based training alone may be sufficient, eliminating the need for additional traditional instruction. The study highlights the metaverse's potential to enhance dental education by providing a fully 3D, interactive learning experience.Article A User Task Design Notation for Improved Software Design(PeerJ Inc., 2021) Ozcan, Eda; Cagiltay, Nergiz Ercil; Topalli, Damla; Tokdemir, GulArticle Citation - WoS: 7Citation - Scopus: 8Quantitative Assessment and Objective Improvement of the Accuracy of Neurosurgical Planning Through Digital Patient-Specific 3d Models(Frontiers Media Sa, 2024) Hanalioglu, Sahin; Gurses, Muhammet Enes; Baylarov, Baylar; Tunc, Osman; Isikay, Ilkay; Cagiltay, Nergiz Ercil; Berker, MustafaObjective Neurosurgical patient-specific 3D models have been shown to facilitate learning, enhance planning skills and improve surgical results. However, there is limited data on the objective validation of these models. Here, we aim to investigate their potential for improving the accuracy of surgical planning process of the neurosurgery residents and their usage as a surgical planning skill assessment tool.Methods A patient-specific 3D digital model of parasagittal meningioma case was constructed. Participants were invited to plan the incision and craniotomy first after the conventional planning session with MRI, and then with 3D model. A feedback survey was performed at the end of the session. Quantitative metrics were used to assess the performance of the participants in a double-blind fashion.Results A total of 38 neurosurgical residents and interns participated in this study. For estimated tumor projection on scalp, percent tumor coverage increased (66.4 +/- 26.2%-77.2 +/- 17.4%, p = 0.026), excess coverage decreased (2,232 +/- 1,322 mm2-1,662 +/- 956 mm2, p = 0.019); and craniotomy margin deviation from acceptable the standard was reduced (57.3 +/- 24.0 mm-47.2 +/- 19.8 mm, p = 0.024) after training with 3D model. For linear skin incision, deviation from tumor epicenter significantly reduced from 16.3 +/- 9.6 mm-8.3 +/- 7.9 mm after training with 3D model only in residents (p = 0.02). The participants scored realism, performance, usefulness, and practicality of the digital 3D models very highly.Conclusion This study provides evidence that patient-specific digital 3D models can be used as educational materials to objectively improve the surgical planning accuracy of neurosurgical residents and to quantitatively assess their surgical planning skills through various surgical scenarios.Article Citation - Scopus: 1A User Task Design Notation for Improved Software Design(Peerj inc, 2021) Topalli, Damla; Tokdemir, Gul; Cagiltay, Nergiz Ercil; Ozcan, EdaSystem design is recognized as one of the most critical components of a software system that bridges system requirements and coding. System design also has a significant impact on testing and maintenance activities, and on further improvements during the lifespan of the software system. Software design should reflect all necessary components of the requirements in a clear and understandable manner by all stakeholders of the software system. To distinguish system elements, separation of concerns in software design is suggested. In this respect, identification of the user tasks, i.e., the tasks that need to be performed by the user, is not currently reflected explicitly in system design documents. Our main assumption in this study is that software quality can be improved significantly by clearly identifying the user tasks from those that need to be performed by the computer system itself. Additionally, what we propose has the potential to better reflect the user requirements and main objectives of the system on the software design and thereby to improve software quality. The main aim of this study is to introduce a novel notation for software developers in the frame of UML Activity Diagram (UML-AD) that enables designers to identify the user tasks and define them separately from the system tasks. For this purpose, an extension of UML-AD, named UML-ADE (UML-Activity Diagram Extended) was proposed. Afterwards, it was implemented in a serious game case for which the specification of user tasks is extremely important. Finally, its effectiveness was analyzed and compared to UML-AD experimentally with 72 participants. The defect detection performance of the participants on both diagrams with two real-life serious game scenarios was evaluated. Results show a higher level of understandability for those using UML-ADE, which in turn may indicate a better design and higher software quality. The results encourage researchers to develop specific design representations dedicated to task design to improve system quality and to conduct further evaluations of the impact of these design on each of the above mentioned potential benefits for the software systems.