Search Results

Now showing 1 - 10 of 17
  • Conference Object
    Citation - Scopus: 8
    Simulation-Based Environments for Surgical Practice
    (Institute of Electrical and Electronics Engineers Inc., 2017) Dalveren,G.G.M.; Çağıltay,N.E.; Özçelik,E.; Maraş,H.
    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. © 2017 IEEE.
  • Conference Object
    The Borderline Between Serious Games and Simulations
    (Iated-int Assoc Technology Education & development, 2014) Guney, Sinem; Cagiltay, Nergiz Ercil; Tuner, Emre; Cereci, Ibrahim
    Game and simulation-based environments allow trainees to develop motor and cognitive skills as well as to provide some very detailed measurement values which in turn provide a feedback mechanism. It is a well known fact that games and simulation are potentially creating safer and cheaper active learning environments. Even when several benefits of games and simulations are reported in the literature, there is no exact definition of a game and simulation drawing the borders in between. Hence this causes to some complexities and misunderstandings in the field. Accordingly, in this study a definition for simulations and games is searched by being based on the studies found in the literature. Based on these definitions a borderline for the games and simulations will be provided. Results of study aim to guide the educational technology designers by better defining their education designs and better understanding their affect on the educational environments.
  • Conference Object
    Citation - WoS: 6
    Simulation-Based Environments for Surgical Practice
    (Ieee, 2017) Dalveren, Gonca Gokce Menekse; Cagiltay, Nergiz Ercil; Ozcelik, Erol; Maras, Hakan
    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.
  • Conference Object
    Artificial Intelligence Techniques for Performance Simulation: Solid Oxide Fuel Cells V-J Curve Prediction Via Artificial Neural Networks
    (ENEA, 2017) Baldinelli,A.; Barelli,L.; Bidini,G.; Bonucci,F.; Iskenderoğlu,F.C.
    For their high flexibility of operation, Solid oxide fuel cells (SOFCs) are promising candidates to coach the transition towards cleaner and efficient energy generation. Yet, SOFC performance might be markedly affected by fuel composition variability and operative parameters. For that, a reliable simulation tool is necessary for SOFC performance, to optimize its working point and to provide a suitable control. Given the high variability ascribed to the fuel and the electrochemical system high nonlinearity, the implementation of artificial intelligence techniques, like Artificial Neural Networks (ANNs), is worth considering. In ANNs, the correlation between system inputs and outputs is handled by virtual neurons, establishing in-out correlations without entering in knotty kinetics and material properties issues. For what above, a suitably sized experimental campaign is to be designed to provide a large data-set. This to guarantee high ANN performance in the voltage estimation and, at the same time, a wide application domain of the neural simulator. © EFC 2017 - Proceedings of the 7th European Fuel Cell Piero Lunghi Conference.
  • Conference Object
    Citation - Scopus: 2
    Personality Type Indicator Models in Serious Games: a Case Study in a Surgical Navigation Game
    (Institute of Electrical and Electronics Engineers Inc., 2015) Menekse,G.G.; Cagiltay,N.E.; Ozcelik,E.
    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. © 2015 IEEE.
  • Review
    Citation - WoS: 7
    Citation - Scopus: 7
    A Systematic Review on Classification and Assessment of Surgical Skill Levels for Simulation-Based Training Programs
    (Elsevier Ireland Ltd, 2023) Tonbul, Gokcen; Topalli, Damla; Cagiltay, Nergiz Ercil
    Background: Nowadays, advances in medical informatics have made minimally invasive surgery (MIS) procedures the preferred choice. However, there are several problems with the education programs in terms of surgical skill acquisition. For instance, defining and objectively measuring surgical skill levels is a challenging process. Accordingly, the aim of this study is to conduct a literature review for an investigation of the current approaches for classifying the surgical skill levels and for identifying the skill training tools and measurement methods.Materials and Methods: In this research, a search is conducted and a corpus is created. Exclusion and inclusion criteria are applied by limiting the number of articles based on surgical education, training approximations, hand movements, and endoscopic or laparoscopic operations. To satisfy these criteria, 57 articles are included in the corpus of this study.Results: Currently used surgical skill assessment approaches have been summarized. Results show that various classification approaches for the surgical skill level definitions are being used. Besides, many studies are con-ducted by omitting particularly important skill levels in between. Additionally, some inconsistencies are also identified across the skill level classification studies.Conclusion: In order to improve the benefits of simulation-based training programs, a standardized interdisci-plinary approach should be developed. For this reason, specific to each surgical procedure, the required skills should be identified. Additionally, appropriate measures for assessing these skills, which can be defined in simulation-based MIS training environments, should be refined. Finally, the skill levels gained during the developmental stages of these skills, with their threshold values referencing the identified measures, should be redefined in a standardized manner.
  • Conference Object
    An Investigation About Process Matchmaking Performances of Unstructured and Decentralized Digital Environments
    (2007) Cakir,B.; Kilic,H.
    Efficient matchmaking is an important problem in unstructured and decentralized digital environments. We report the results of simulations of these environments and provide measurements of match performance focusing on unstructured and decentralized environments. In the study, different environment models including P2P (Hypergrid, Gnutella with/without ultrapeer); small-world (WattsStrogatz); heavy-tailed and random versions of Autonomous System Waxman model showing power-law distribution property; random and 2D-Grid are considered. The flooding mechanism enabling process encounters for match purposes is uninformed Breadth-First-Search. Simulations show that the matchmaking performance of random environment outperforms the others for almost all different problems and time-to-live settings. On the other hand, the total cost of small world environment model is the highest for almost all setups. © 2007 IEEE.
  • Article
    Citation - Scopus: 2
    Simulation Trends in Quenching Technology for Automotive Components
    (Maney Publishing, 2014) Felde,I.; Simsir,C.
    Quenching technology is widely used in automotive industry from a simple immersion quenching of gears up to the complex production technology of press hardening. The selection of process parameters to develop the desired properties is challenging due to the complexity of the physical phenomena occurring during the manufacturing cycle. In the last decades several computational methods have been applied successful to optimise the heat treatment processes. This paper is focusing on some examples demonstrating the state of the art of the simulation tools, including the physical phenomena of quenching, the theoretical background of the coupled models used for estimation the microstructure, mechanical properties and deformation of heat treated automotive components. © 2014 IHTSE Partnership.
  • Conference Object
    Information System Process Improvement: a Managerial Perspective and Proposal of a General Framework
    (2006) Mishra,A.; Mishra,D.; Akman,I.
    System process improvement is a continuous strategy in organizations for reducing overall cost, shortening cycle times, and improve quality and user satisfaction. There are various models like Capability Maturity Model (CMM), ISO, etc. available to measure process improvement. However management role is vital for effective process improvement implementation strategy. This paper briefly presents an assessment of all the factors which, if taken care by the management effectively, can ensure success in information system process improvement and proposes a general 2-stage framework for process improvement. The framework presents stochastic simulation model which is tailored to the dynamics of software projects, and which takes management plan and individual processes as input to show how simulation can be used to achieve effective project management.
  • Article
    Artificial Intelligence Based Resuscitation Simulation: A Pilot Study of a Novel Approach to Team Leadership Training
    (BMC, 2026) Kanbakan, Altug; Berikol, Goksu Bozdereli; Ilhan, Bugra; Altintas, Emel; Doganay, Fatih
    Introduction Team leadership training is essential alongside with technical training for effective resuscitation management. Addressing this gap, we developed a novel simulation system leveraging Large Language Models (LLMs) to create Artificial Intelligence (Al) agents simulating team members in Advanced Cardiovascular Life Support (ACLS) scenarios. This pilot study aimed to to develop a novel LLM-based ACLS simulation training platform and evaluate its performance in simulated resuscitation scenarios on established protocols.
    Method Using the Claude 3.5 Sonnet API, we designed a simulation system with four Al agents assigned specific roles as healthcare staff within an ACLS team. Each agent strictly followed the 2020 American Heart Association (AHA) ACLS guidelines while interacting with an ACLS certified emergency medicine specialist user. The ten patient scenario transcripts were evaluated with three blinded emergency medicine specialists whether all the recommended steps are completed. Inter-rater reliability was assessed using Kendall's W and Krippendorff's Alpha statistics to evaluate agreement both within raters and the model.
    Results Al agents consistently adhered to the AHA 2020 ACIS algorithm across scenarios, with a high inter-rater reliability (Kendall's W > 0.75 ) . Krippendorff's Alpha values for agreement ranged from substantial (0.84) to almost perfect (0.99), indicating robust compliance with guidelines and effective simulation of resuscitation responses.
    Conclusion This study highlights the potential of LL.M-powered simulations as an adjunct to traditional resuscitation training. The system effectively supported team leadership training by providing consistent and guideline-compliant responses. While the results are promising, further research with larger participant samples is necessary to evaluate the long-term educational impact and scalability of such systems.