- http://kisisel.atilim.edu.tr/~nergiz.cagiltay/
Nergiz Cagiltay
Cankaya University, Software Engineering, Faculty Member
- Software Engineering, Using digital technology in higher education, Scholarly communication, technology in higher education, digital humanities, Computer Science, Engineering, Information Technology, and 9 moreArtificial Intelligence, Data Mining, Education, Electrical Engineering, Teacher Education, Knowledge Management, Cloud Computing, Web Design, and Android Developmentedit
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests: Computer Science, Software Engineering, Artificial Intelligence, Computer Science Education, Computer Engineering, and 12 moreVisualization, Database Systems, Concept Map, Curriculum Development, Curriculum, Virtual Reality, Hardware, Artificial Intelligent, Optical computing, Theory and Practice, First Year, and Database System
Research Interests:
Data mining algorithms have been applied in various fields of medicine to get insights about diagnosis and treatment of certain diseases. This gives rise to more research on personalized medicine as patient data can be utilized to predict... more
Data mining algorithms have been applied in various fields of medicine to get insights about diagnosis and treatment of certain diseases. This gives rise to more research on personalized medicine as patient data can be utilized to predict outcomes of certain treatment procedures. Accordingly, this study aims to create a model to provide decision support for surgeons in Neurooncology surgery. For this purpose, we have analyzed clinical pathology records of Neurooncology patients through various classification algorithms, namely Support Vector Machine, Multi Perceptron and Naive Bayes methods, and compared their performances with the aim of predicting surgery complication. A large number of factors have been considered to classify and predict percentage of patient's complication in surgery. Some of the factors found to be predictive were age, sex, clinical presentation, previous surgery type etc. For classification models built up using Support Vector Machine, Naive Bayes and Multi Perceptron, Classification trials for Support Vector Machine have shown %77.47 generalization accuracy, which was established by 5-fold cross-validation.
Research Interests:
Decision making process is crucial in several stages of clinical procedures. On the other hand, there are not many studies showing the implications of decision support systems in clinical environments. Hence, adaptation of Decision... more
Decision making process is crucial in several stages of clinical procedures. On the other hand, there are not many studies showing the implications of decision support systems in clinical environments. Hence, adaptation of Decision Support Systems to clinical environment is getting more important as we can collect more data through sensors and yet cannot use it effectively in decision making process. This study aims to understand the effects, benefits and obstacles utilizing CDSS in healthcare. For this purpose, 60 CDSS studies were analyzed to better understand their purpose, implementation domain, and success degrees in the world. Also, a case study was made for analyzing the situation in Turkey. The results show that in the field of neurosurgery, the level of analysis of neurosurgical data in Turkey is very low. The results show an urgent need for collaboration of IT experts and medical authorities to better record and analyze clinical data in the field of neurosurgery.
Research Interests:
Project planning is a critical activity in the software development life cycle. At the early stages of a project, the managers need to estimate required time, effort and cost to plan, track and then to deliver the project successfully.... more
Project planning is a critical activity in the software development life cycle. At the early stages of a project, the managers need to estimate required time, effort and cost to plan, track and then to deliver the project successfully. Many studies have attempted to provide methods for precise software cost estimation. The current software cost estimation methods are mainly based on software size estimation and functional system requirements. The main assumption of this study is that, as the primary source of complexity in today’s software is the interaction between the database and the user, database measures may provide inputs allowing current software estimation methods to achieve more accurate results. Accordingly, this study attempts to gain insights from objective measures, collected through the logical database model of software systems, for better prediction of the software’s effort and hence cost through software lines of code (SLOC) measure. For this purpose, more than 2.5 million lines of code developed by four different companies, for 79 different software packages with their related database design measures, are analyzed. The results of this study show that there is a close correlation between the software size and database design measure, namely, the number of tables which can be collected at the logical database design stage. By adapting this result, the current estimation models could be improved significantly.
Research Interests:
Research Interests:
Research Interests:
Research Interests: Psychology and Humanities
Research Interests:
The performance of the left- and right-hands of a person may be different from each other. In general, people use one hand with a superior performance compared to the other hand where that hand is preferred for performing daily... more
The performance of the left- and right-hands of a person may be different from each other. In general, people use one hand with a superior performance compared to the other hand where that hand is preferred for performing daily activities. It is critical to understand their preference for right or left hand use, especially in cases where the skills should be improved to use both hands precisely in activities required special abilities such as endoscopic surgical operations. A better understanding of these cases will improve the quality of existing surgical education programs, and make a major contribution specifically in designing, improving and managing of simulation-based instructional technologies. In this study, the right- and left-hand preferences (handedness) of people are analyzed from the literature and a simulation-based experimental study is conducted in order to examine the performance differences of the participants while using their right and left hands. The results of this study aimed to guide the curriculum designers and instructional system developers for better designing and developing simulation-based surgical education programs.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Nowadays, neuronavigation systems are used in brain surgery procedures, known as a technology to help the surgeon during the operational period. However, the surgeons have faced several problems with the existing systems. Some of these... more
Nowadays, neuronavigation systems are used in brain surgery procedures, known as a technology to help the surgeon during the operational period. However, the surgeons have faced several problems with the existing systems. Some of these problems are related to the systems software and user interfaces. In this study, such problems are examined and the “Passive Usage” term is added to the literature by establishing a connection between the problems of endoscopic surgical procedures and similar issues occurred in other domains. The passive usage problem is generalized on different domains for the first time with this study. The results of the study expected to gather up the similar passive usage problems experienced in different domains. Accordingly, the methodologies and studies that are conducted in different research areas may lead to eliminate the Passive Usage problems efficiently.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
ABSTRACT Today, with the advancements in the eye-tracking technology, it has become possible to follow surgeons’ eye movements while performing surgical tasks. Despite the availability of studies providing a better understanding of... more
ABSTRACT Today, with the advancements in the eye-tracking technology, it has become possible to follow surgeons’ eye movements while performing surgical tasks. Despite the availability of studies providing a better understanding of surgeons’ eye movements, research in the particular field of endoneurosurgery is very limited. Analysing surgeons’ eye-movement data can provide general insights into how to improve surgical education programmes. In this study, four simulation-based task-oriented endoscopic surgery training scenarios were developed and implemented by 23 surgical residents using three different hand conditions; dominant, non-dominant, and both. The participants’ recorded eye data comprised fixation number, fixation duration, saccade number, saccade duration, pursuit number, pursuit duration, and pupil size. This study has two main contributions: First, it reports on the eye-movement behaviours of surgical residents, demonstrating that novice residents tended to make more fixations and saccades than intermediate residents. They also had a higher fixation duration and followed the objects more frequently compared to the intermediates. Furthermore, hand conditions significantly affected the eye movements of the participants. Based on these results, it can be concluded that eye-movement data can be used to assess the skill levels of surgical residents and would be an important measure to better guide trainees in surgical education programmes. The second contribution of this study is the eye-movement event classifications of 10 different algorithms. Although the algorithms mostly provided similar results, there were a few conflicted values for some classifications, which offers a clue as to how researchers can utilise these algorithms with low sampling frequency eye trackers.
Research Interests:
Research Interests:
Research Interests: Computer Science, Software Engineering, Education, Technology, Game Based Learning, and 14 moreLearning environments, Interactive Learning Environments, Motivation, Postsecondary Education, Computers in Education, Learning Systems, Empirical Research, Computer Aided Instruction, Post Secondary Education, Interactive Learning Environment, Research Studies, Educational Game, Learning Outcome, and Essential characteristic
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Research Interests:
While there are many studies regarding utilization of haptic feedback to enhance desktop GUIs and utilizing haptic devices as additional interfaces to improve performance in current interaction techniques, there are not many studies that... more
While there are many studies regarding utilization of haptic feedback to enhance desktop GUIs and utilizing haptic devices as additional interfaces to improve performance in current interaction techniques, there are not many studies that uses haptic device as a primary input device. In this study, we present an experimentation conducted with 30 students, comparing performance of a haptic device with mouse to use a GUI elements commonly used with mouse gestures. This study is inspired by a system that utilizes both mouse and a haptic device, thus also taking task switching into consideration. We conclude that it is possible to achieve an acceptable performance with a haptic device in a desktop-like GUI but further study and experimentation is necessary.
Research Interests:
Research Interests:
Serious games are a popular concept in both the research and commercial areas. It is agreed that the concept refers to the use of computer games without the main purpose of pure entertainment. In addition to being entertaining, they have... more
Serious games are a popular concept in both the research and commercial areas. It is agreed that the concept refers to the use of computer games without the main purpose of pure entertainment. In addition to being entertaining, they have some additional educational or training objectives as well. Serious games are used in different areas such as military, government, educational, corporate, and healthcare. However, according to their individual differences, it is not always possible to provide such an educational environment that fits expectations and preferences of all audience. Hence, personalization is becoming an essential issue in serious game environments, which focus on a human-centered paradigm aiming to provide adaptive and personalized services to the users according to the context. However, how such a personalization should be affectively implemented in the design of serious games is a challenge. This study aims to better understand the affect of personality types on game play. For this purpose, a game-based simulation environment which also records all details of the player during the performance of several tasks in the game play was used. Twenty nine students were asked to play the simulation game. Additionally, their personality types were collected based on the theory of psychological types by Carl Jung, the Myers-Briggs Type Indicator (MBTI) which measures personality preferences as defined by Four Dichotomous pairs of mental functions or attitudes. The correlation between these personality types and individual performance measures of players during the game play was analyzed. However no significant correlation between game parameters and the players' personality types has been recorded. This may be because of the limited number of participants that need to be examined in the future studies.
Research Interests:
Research Interests:
Research Interests:
Research Interests:
Surgical residents of endo-neurosurgery are required to develop several surgical skills such as eye-hand coordination, ability to use both hand coordination, and depth perception. During the process of gaining these skills, there are... more
Surgical residents of endo-neurosurgery are required to develop several surgical skills such as eye-hand coordination, ability to use both hand coordination, and depth perception. During the process of gaining these skills, there are several effective factors on the individual performance such as gender, nature of the scenarios and hand condition that can be important to better organize appropriate training programs. Earlier studies show that, surgeons' mental workload show differences according to the difficulty levels of the tasks and hand conditions during the operations. Also there are some evidences showing that male surgeons performing the surgical tasks with a better performance compared to the females. However, in the literature there are not many studies conducted to better understand these effects by analyzing the eye-movements on simulation-based surgical training environments. This study aims to understand the mental workload and gender differences from fixation number and fixation duration eye-movement events. In this study four different computer-based-simulation scenarios which are developed for an Educational Computer-based-simulation Environment (ECE) for endo-neurosurgery training have been performed by 23 (3 female) surgical residents. Participants have performed each scenario in different hand conditions (dominant, non-dominant and both hand). While surgical residents were performing the scenarios their eye-movements were recorded by an eye-tracker. The Binocular Individual Threshold (BIT) classification algorithm was used for eye-movement event classification. According to the results of fixation number and fixation duration events in these four scenarios, hand conditions, scenario fidelity levels and gender are found to be important factors that make changes on mental workload of surgical residents. It can be concluded that, in non-dominant and both hand conditions mental workload increases according to the dominant hand condition. Additionally results show that scenario fidelity levels and gender have an effect on the eye-movements of surgical residents.
Research Interests:
Modeling 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... more
Modeling 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.
Research Interests:
ÖZET Yazılımların tüm kullanıcılar tarafından erişilebilir olmasını sağlamak önemli bir insan bilgisayar etkileşimi konusudur. Ancak alanyazında bu konuyu ele alan çalışma sayısı son derece kısıtlıdır. Bu çalışmanın amacı mühendis... more
ÖZET Yazılımların tüm kullanıcılar tarafından erişilebilir olmasını sağlamak önemli bir insan bilgisayar etkileşimi konusudur. Ancak alanyazında bu konuyu ele alan çalışma sayısı son derece kısıtlıdır. Bu çalışmanın amacı mühendis adaylarının engelli kullanıcılara yönelik yazılım geliştirme farkındalıklarını anlamaktır. Çalışmada yazılım mühendisliğine giriş aşamasındaki 49 mühendis adayı katılımcı olarak yer almıştır. Katılımcıların öncelikle erişilebilirlik kavramına yönelik genel bilgi seviyeleri analiz edilmiş, sonrasında engelli kullanıcılara yönelik geliştirecekleri yazılım projelerinin analiz aşamasında hazırladıkları raporlar, içerik analizi yöntemi ile değerlendirilmiştir. Çalışmada elde edilen bulgulara göre, katılımcıların oldukça büyük bölümünün erişilebilirlik hakkında yanlış veya eksik bilgi sahibi olduğu belirlenmiştir. Katılımcılar geliştirecekleri yazılım projeleri için çoğunlukla zihinsel engelli veya görme engelli kullanıcıları hedef kitle olarak seçmişlerdir. Ayr...