Dalveren, Gonca Gökçe Menekşe
Loading...
Profile URL
Name Variants
Gonca Gökçe Menekşe, Dalveren
Dalveren, Gonca Gokce Menekse
G., Dalveren
G.,Dalveren
D.,Gonca Gökçe Menekşe
Gonca Gokce Menekse, Dalveren
Dalveren, Gonca Gökçe Menekşe
G.G.M.Dalveren
D.,Gonca Gokce Menekse
D., Gonca Gokce Menekse
Dalveren,G.G.M.
Dalveren, Gonca Gokce Menekse
G., Dalveren
G.,Dalveren
D.,Gonca Gökçe Menekşe
Gonca Gokce Menekse, Dalveren
Dalveren, Gonca Gökçe Menekşe
G.G.M.Dalveren
D.,Gonca Gokce Menekse
D., Gonca Gokce Menekse
Dalveren,G.G.M.
Job Title
Doktor Öğretim Üyesi
Email Address
gonca.menekse@atilim.edu.tr
Main Affiliation
Information Systems Engineering
Status
Former Staff
Website
ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
Research Products
3GOOD HEALTH AND WELL-BEING
0
Research Products
4QUALITY EDUCATION
5
Research Products
5GENDER EQUALITY
0
Research Products
6CLEAN WATER AND SANITATION
0
Research Products
7AFFORDABLE AND CLEAN ENERGY
1
Research Products
8DECENT WORK AND ECONOMIC GROWTH
0
Research Products
9INDUSTRY, INNOVATION AND INFRASTRUCTURE
1
Research Products
10REDUCED INEQUALITIES
0
Research Products
11SUSTAINABLE CITIES AND COMMUNITIES
0
Research Products
12RESPONSIBLE CONSUMPTION AND PRODUCTION
1
Research Products
13CLIMATE ACTION
0
Research Products
14LIFE BELOW WATER
0
Research Products
15LIFE ON LAND
0
Research Products
16PEACE, JUSTICE AND STRONG INSTITUTIONS
3
Research Products
17PARTNERSHIPS FOR THE GOALS
0
Research Products
This researcher does not have a Scopus ID.
This researcher does not have a WoS ID.
Scholarly Output
29
Articles
19
Views / Downloads
133/992
Supervised MSc Theses
3
Supervised PhD Theses
1
WoS Citation Count
217
Scopus Citation Count
303
Patents
0
Projects
0
WoS Citations per Publication
7.48
Scopus Citations per Publication
10.45
Open Access Source
15
Supervised Theses
4
| Journal | Count |
|---|---|
| IEEE Access | 5 |
| Sustainability | 2 |
| 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018 -- 2018 International Symposium on Networks, Computers and Communications, ISNCC 2018 -- 19 June 2018 through 21 June 2018 -- Rome -- 142427 | 2 |
| Journal of Eye Movement Research | 2 |
| Avrupa Bilim ve Teknoloji Dergisi | 1 |
Current Page: 1 / 4
Scopus Quartile Distribution
Competency Cloud
29 results
Scholarly Output Search Results
Now showing 1 - 10 of 29
Article Citation - WoS: 28Citation - Scopus: 44Digital Transformation Strategies, Practices, and Trends: a Large-Scale Retrospective Study Based on Machine Learning(Mdpi, 2023) Gurcan, Fatih; Boztas, Gizem Dilan; Dalveren, Gonca Gokce Menekse; Derawi, MohammadThe purpose of this research is to identify the areas of interest, research topics, and application areas that reflect the research nature of digital transformation (DT), as well as the strategies, practices, and trends of DT. To accomplish this, the Latent Dirichlet allocation algorithm, a probabilistic topic modeling technique, was applied to 5350 peer-reviewed journal articles on DT published in the last ten years, from 2013 to 2022. The analysis resulted in the discovery of 34 topics. These topics were classified, and a systematic taxonomy for DT was presented, including four sub-categories: implementation, technology, process, and human. As a result of time-based trend analysis, "Sustainable Energy", "DT in Health", "E-Government", "DT in Education", and "Supply Chain" emerged as top topics with an increasing trend. Our findings indicate that research interests are focused on specific applications of digital transformation in industrial and public settings. Based on our findings, we anticipate that the next phase of DT research and practice will concentrate on specific DT applications in government, health, education, and economics. "Sustainable Energy" and "Supply Chain" have been identified as the most prominent topics in current DT processes and applications. This study can help researchers and practitioners in the field by providing insights and implications about the evolution and applications of DT. Our findings are intended to serve as a guide for DT in understanding current research gaps and potential future research topics.Conference Object Citation - Scopus: 2Insights From Eye-Movement Events in an Educational Computer-Based Environment (ece) for Endo-Neurosurgery Training Considering Gender, Hand Condition and Scenario Effects(Institute of Electrical and Electronics Engineers Inc., 2018) Dalveren,G.G.M.; Cagiltay,N.E.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. © 2018 IEEE.Article Citation - WoS: 20Citation - Scopus: 29Career in Cloud Computing: Exploratory Analysis of In-Demand Competency Areas and Skill Sets(Mdpi, 2022) Ozyurt, Ozcan; Gurcan, Fatih; Dalveren, Gonca Gokce Menekse; Derawi, MohammadThis study aims to investigate up-to-date career opportunities and in-demand competence areas and skill sets for cloud computing (CC), which plays a crucial role in the rapidly developing teleworking environments with the COVID-19 pandemic. In this paper, we conducted a semantic content analysis on 10,161 CC job postings using semi-automated text-mining and probabilistic topic-modeling procedures to discover the competency areas and skill sets as semantic topics. Our findings revealed 22 competency areas and 46 skills, which reflect the interdisciplinary background of CC jobs. The top five competency areas for CC were identified as "Engineering", "Development", "Security", "Architecture", and "Management". Besides, the top three skills emerged as "Communication Skills", "DevOps Tools", and "Software Development". Considering the findings, a competency-skill map was created that illustrates the correlations between CC competency areas and their related skills. Although there are many studies on CC, the competency areas and skill sets required to deal with cloud computing have not yet been empirically studied. Our findings can contribute to CC candidates and professionals, IT organizations, and academic institutions in understanding, evaluating, and developing the competencies and skills needed in the CC industry.Conference Object Insights From Eye-Movement Events in an Educational Computer-Based Environment (ece) for Endo-Neurosurgery Training Considering Gender, Hand Condition and Scenario Effects(Ieee, 2018) Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz ErcilSurgical 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.Conference Object Insights From Eye-Movement Events in an Educational Computer-Based Environment (ece) for Endo-Neurosurgery Training Considering Gender, Hand Condition and Scenario Effects(Institute of Electrical and Electronics Engineers Inc., 2018) Dalveren,G.G.M.; Cagiltay,N.E.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. © 2018 IEEE.Master Thesis Türkçe Yapılandırılmış Yazılım Gereksinimleri için Ortak Metin Tasarımı(2021) Öztekin, Gonca Canan; Dalveren, Gonca Gökçe MenekşeE-Devlet uygulamalarında birçok proje yapılmaktadır ve bir uygulamanın en iyi şekilde yapılabilmesi için iyi bir analiz çalışmasının yapılması şarttır. Kötü yapılmış bir analiz çalışması sonucunda geliştirilen uygulamalarda hatalar kaçınılmazdır. Analiz cümlelerinin doğru anlaşılması ve aktarılması çok önemlidir. Yazılım gereksinimlerinin kalitesini belirlemek ve bu gereksinim bildirimlerini değerlendirmek için bir yöntem veya modele ihtiyacımız vardır. Bu gereksinimlerin çoğu, ana dillerini kullanan kullanıcıların doğal dilinde ifade edilmektedir. Yazılım gereksinimi için kalite modeli hakkında birkaç araştırma yapılmıştır, ancak Türkçe dili ifadesi için, özellikle e-Devlet alanında çok fazla araştırma yapılmamıştır. Ek olarak, Türkçe dilinde yazılım gereksinimleri belirtim bildirimlerinin yazılmasında bir standart yoktur. Bu tezin asıl amacı ortak metinler tanımlayarak ve analiz cümlelerinin belirli bir yapıya getirilmesini sağlayarak doğal dilden kaynaklı hataların en aza indirilmesi ve standardize edilmesini sağlamaktır. Gereksinim cümlesini girecek analist ya da gereksinim mühendisinin cümleyi düzgün girilebilmesini sağlayan bir model oluşturulmuştur. Oluşturulan model Türkçe dilinde Yazılım Gereksinimleri Spesifikasyonu (SRS) için bir kalite değerlendirme modeli olarak kullanılabilir. Modelin gereksinimleri ortak metin şablonlarıyla eşleştirebilmesi, benzerlik değerlerini hesaplayabilmesi ve yazılım gereksinimleri, düzenleyici belgeler ve kullanıcı gereksinimleri arasındaki gereksinimleri daha uygun bir biçimde şablona ekleyebilmesi için bir ara yüz tasarlanmıştır. Bu model, bir e-Devlet uygulamasının SRS'sinin kalitesini artırmak için uygulanmıştır. Sonuç olarak e-Devlet uygulamasına yenilikçi ve modern bir yaklaşım sunulmuştur. Literatüre bir çözüm önerisi ve akademik araştırma getirilmiştir.Article Citation - WoS: 6Citation - Scopus: 7Are Left- and Right-Eye Pupil Sizes Always Equal?(int Group Eye Movement Research, 2019) Cagiltay, Nergiz Ercil; Dalveren, Gonca Gokce MenekseEye movements provide very critical information about the cognitive load and behaviors of human beings. Earlier studies report that under normal conditions, the left- and right-eye pupil sizes are equal. For this reason, most studies undertaking eye-movement analysis are conducted by only considering the pupil size of a single eye or taking the average size of both eye pupils. This study attempts to offer a better understanding concerning whether there are any differences between the left- and right-eye pupil sizes of the right-handed surgical residents while performing surgical tasks in a computer-based simulation environment under different conditions (left-hand, right-hand and both hands). According to the results, in many cases, the right-eye pupil sizes of the participants were larger than their left-eye pupil sizes while performing the tasks under right-hand and both hands conditions. However, no significant difference was found in relation to the tasks performed under left-hand condition in all scenarios. These results are very critical to shed further light on the cognitive load of the surgical residents by analyzing their left-eye and right-eye pupil sizes. Further research is required to investigate the effect of the difficulty level of each scenario, its appropriateness with the skill level of the participants, and handedness on the differences between the leftand right-eye pupil sizes.Article Citation - WoS: 9Citation - Scopus: 21Business Intelligence Strategies, Best Practices, and Latest Trends: Analysis of Scientometric Data From 2003 To 2023 Using Machine Learning(Mdpi, 2023) Gurcan, Fatih; Ayaz, Ahmet; Dalveren, Gonca Gokce Menekse; Derawi, Mohammad; Menekse Dalveren, Gonca GokceThe widespread use of business intelligence products, services, and applications piques the interest of researchers in this field. The interest of researchers in business intelligence increases the number of studies significantly. Identifying domain-specific research patterns and trends is thus a significant research problem. This study employs a topic modeling approach to analyze domain-specific articles in order to identify research patterns and trends in the business intelligence field over the last 20 years. As a result, 36 topics were discovered that reflect the field's research landscape and trends. Topics such as "Organizational Capability", "AI Applications", "Data Mining", "Big Data Analytics", and "Visualization" have recently gained popularity. A systematic taxonomic map was also created, revealing the research background and BI perspectives based on the topics. This study may be useful to researchers and practitioners interested in learning about the most recent developments in the field. Topics generated by topic modeling can also be used to identify gaps in current research or potential future research directions.Article Citation - WoS: 8Citation - Scopus: 10Evaluation of Ten Open-Source Eye-Movement Classification Algorithms in Simulated Surgical Scenarios(Ieee-inst Electrical Electronics Engineers inc, 2019) Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz ErcilDespite providing several insights into visual attention and evidence regarding certain brain states and psychological functions, classifying eye movements is a highly demanding process. Currently, there are several algorithms to classify eye movement events which use different approaches. However, to date, only a limited number of studies have assessed these algorithms under specific conditions, such as those required for surgical training programmes. This study presents an investigation of ten open-source eye-movement classification algorithms using the Eye Tribe eye-tracker. The algorithms were tested on the eye-movement records obtained from 23 surgical residents, who performed computer-based surgical simulation tasks under different hand conditions. The aim was to offer data for the improvement of surgical training programmes. According to the results, due to the different classification methods and default threshold values, the ten algorithms produced different results. Considering the fixation duration, the only common event for all of the investigated algorithms, the binocular-individual threshold (BIT) algorithm resulted in a different clustering compared to the other algorithms. Based on the other set of common events, three clusters were determined by eight algorithms (except BIT and event detection (ED)), distinguishing dispersion-based, velocity-based and modified versions of velocity-based algorithms. Accordingly, it was concluded that dispersion-based and velocity-based algorithms provided different results. Additionally, as it individually specifies the threshold values for the eye-movement data, when there is no consensus about the threshold values to be set, the BIT algorithm can be selected. Especially for such cases like simulation-based surgical skill-training, the use of individualised threshold values in the BIT algorithm can be more beneficial in classifying the raw eye data and thus evaluating the individual progress levels of trainees based on their eye movement behaviours. In conclusion, the threshold values had a critical effect on the algorithm results. Since default values may not always be suitable for the unique features of different data sets, guidelines should be developed to indicate how the threshold values are set for each algorithm.Article Citation - WoS: 2Citation - Scopus: 4Mobile Application Software Requirements Specification From Consumption Values(Mdpi, 2023) Derawi, Mohammad; Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz ErcilIn today's society, mobile applications are becoming more popular and providing several advantages. However, users will resist using a product regardless of how well-tested or solid it is if the wrong requirements are implemented. Understanding the factors that influence the purchase of mobile applications can provide useful information for mobile application design and development. Hence, the purpose of this research is to better understand the impact of consumption values on customers in order to identify the software requirements for a mobile application. This study analyzes the possible behavioral changes of similar groups of university students in a five-year period. For this purpose, a questionnaire is administered to engineering faculty students in 2017 (46 females and 66 males) and 2021 (45 females and 90 males) to better understand customer behavioral changes. The findings highlight the significance of conditional value in customer behavior when purchasing mobile applications. Even though the other consumption values were found to have a negligible effect, there is some evidence indicating that the impact of consumption values on different target customer groups may vary considering their gender and familiarity with apps. Further research needs to be conducted to better understand the possible impact of age, cultural differences, education levels, and special considerations such as visually impaired people. Therefore, this study encourages mobile application designers and developers to raise awareness for the effect of consumption values such as conditional value on their customers' mobile application purchasing behaviors. The possible impact of the consumption values needs to be deeply understood, specifically for the target customer groups, and it should be considered in the software requirements specification (SRS), which is one of the important principles that allow software under consideration for development to function. As a result, a better understanding of consumption values will help developers design and develop better applications by specifying software requirements and marketing strategies.
- «
- 1 (current)
- 2
- 3
- »