Relevant bibliographies by topics / Simulator Fidelity

Academic literature on the topic 'Simulator Fidelity'

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Published: 25 May 2024

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Journal articles on the topic "Simulator Fidelity"

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Evans, L. M., and D. Owens. "Enhancement of a low-fidelity surgical simulator. Is it possible?" Journal of Laryngology & Otology 135, no. 2 (January 27, 2021): 179–81. http://dx.doi.org/10.1017/s0022215120002613.

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AbstractBackgroundSimulation training has become a core component in the training of ENT surgeons. It provides the opportunity for the repetitive practice of a surgical technique. Simulators are broadly categorised into low- and high-fidelity simulators. A method using a home microprocessor to enhance a low-fidelity surgical simulator is introduced.MethodThe Yorick tonsil tie trainer was enhanced using an Arduino microcontroller attached to the simulated inferior pole of the tonsil. The Arduino was coded to give a visual stimulus when linear motion exceeded parameters. The prototype simulator was tested to gain information on whether the enhancement could identify differences between novice and expert users.ConclusionAn enhanced low-fidelity tonsil trainer was produced using a low-cost, simple home microprocessing board. The enhanced simulator gives objective feedback allowing for self-directed learning. Further research is required to evaluate the benefits of these enhancements above non-enhanced simulation training.
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Kumar, P. Suresh, and K. Senthil Kumar. "Airborne Sensor Model Position Fidelity Determination for Combat Aircraft Simulators." Advanced Materials Research 1016 (August 2014): 429–35. http://dx.doi.org/10.4028/www.scientific.net/amr.1016.429.

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Airborne sensors become a primary system in any combat program and the effectiveness depends on the coverage spectrum of the sensors and also the ability of flying machine. However evaluating the mission functionalities using sensors in flight involves tasks namely, Man Machine interface evaluation, Sensor function capability evaluation, System interface evaluation, Performance evaluation, pilot work load etc needs to carried out and the issues observed during the flight test needs to be cleared before accepting the system. It is one of the challenging task for any combat aircraft development program and proving require time, effort and also may lead to time and cost overrun. To minimize the effort one of the method adopted in recent flight development programs are using high fidelity sensor model to evaluate the mission function in the simulator which will reduce the actual test required in flight. Flight simulators during development of combat aircraft program have increased drastically in recent times with new technologies, possible to bring realism in a close room environment. However the success of any simulators depends on the fidelity of each subsystem integrated with in the simulator. Simulator contains simulation model which represents system in the aircraft world and the system which represents the outside world in a simulated manner. Mathematical based Avionics and weapon system Sensor simulation models is one of the major sub systems in any combat simulator and its level of usage depends on its fidelity. This paper proposes a unique and new methodology for evaluating the fidelity of simulated sensors used in the combat simulators. System identification technique allows generating mathematical model for dynamic systems having multiple input and output parameters. The developed model using System Identification Technique is a referent model through which the sensor model fidelity is evaluated.
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Perfect, P., M. D. White, G. D. Padfield, and A. W. Gubbels. "Rotorcraft simulation fidelity: new methods for quantification and assessment." Aeronautical Journal 117, no. 1189 (March 2013): 235–82. http://dx.doi.org/10.1017/s0001924000007983.

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AbstractFlight simulators are integral to the design/development, testing/qualification, training and research communities and their utilisation is ever expanding. The use of flight simulation to provide a safe environment for pilot training, and in research and development, must be underpinned by quantification of simulator fidelity. While regulatory simulator standards exist for flight training simulators and new standards are in development, previous research has shown that current standards do not provide a fully quantitative approach for assessing simulation fidelity, especially in a research environment. This paper reports on progress made in a research project at the University of Liverpool (Lifting Standards), in which new predicted and perceptual measures of simulator fidelity have been developed. The new metrics have been derived from handling qualities engineering practice. Results from flight tests on the National Research Council (Canada) Bell 412 ASRA research aircraft and piloted simulation trials using the HELIFLIGHT-R simulator at Liverpool are presented to show the efficacy of adopting a handling qualities approach for fidelity assessment. Analysis of the new metrics has shown an appropriate degree of sensitivity to differences between flight and simulation.
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Al Fatih, Hudzaifah, and Lena Rahmidar. "Efektivitas low fidelity simulation terhadap self-efficacy mahasiswa keperawatan dalam melakukan bantuan hidup dasar." Holistik Jurnal Kesehatan 14, no. 4 (January 19, 2021): 590–95. http://dx.doi.org/10.33024/hjk.v14i4.3159.

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Effectiveness of low fidelity simulation toward nursing students’ self-efficacy in doing basic life support Background: The use of simulation as learning method has proven to improved student’s self-efficacy and competency. Various simulators has been developed to achieve these objectives, ranging from low, medium, to high-fidelity simulators. Among others, low-fidelity simulator has the lowest cost with the same effectiveness as other simulators.Purpose: To examine the effectiveness of low-fidelity simulation in increasing nursing students’ self-efficacy in performing Basic Life Support (BLS) skill.Method: A quasi-experimental method with non-equivalent pretest - posttest design was used to answer research questions. One chest manikin for Cardio Pulmonary Resuscitation (CPR) was used as a low-fidelity simulator in practicing BLS skill. 47 students were recruited as respondents using a purposive sampling method with students who undergoing emergency nursing course and agreed to participate in the study as inclusions criteria. Furthermore, without randomization, 23 respondents were included in the control group and 24 respondents in the intervention group. The effect of low fidelity simulation on students' self-efficacy was measured using the Basic Resuscitation Scale Self-Efficacy Scale (BRS-SES) questionnaire consisting of 18 items with responses option ranging from 1 = not confident, 2 = somewhat confident, 3 = confident, 4 = very confident, and 5 = very very confident. Questionnaire were given to respondents before and after the intervention. The collected data were analyzed using Analysis of Covariance (ANCOVA).Results: The mean score of students’ self-efficacy before intervention was 38.89 (SD = 10.149), and after intervention was 47.17 (SD = 13.099). There was no significant difference in self-efficacy mean score between the control group and the intervention group (F = 0.625, p> 0.05). So, it can be concluded that the use of low-fidelity simulation method did not have a significant effect in increasing nursing students’ self-efficacy.Conclusions: Although the use of low-fidelity simulation method does not have a significant effect in increasing nursing students’ self-efficacy, this method can be used as an effective learning method to improve nursing students’ skills and competencies.Keywords: Low fidelity simulation; Nursing student; Self-efficacy; Simulation.Pendahuluan: Penggunaan simulasi sebagai metode pengajaran dapat meningkatkan self-efficacy dan performa kompetensi siswa perawat. Beragam simulator dikembangkan untuk mencapai tujuan tersebut, mulai dari low, medium, hingga high-fidelity simulator.Diantara ketiganya, low-fidelity simulator merupakan simulator yang paling rendah dari segi pembiayaan, namun secara efektivitas sama dengan simulator lainnya.Tujuan: Mengetahui efektivitas metode low-fidelity simulation terhadap self-efficacy mahasiswa keperawatan dalam melakukan keterampilan Bantuan Hidup Dasar (BHD).Metode: Quasi eksperimen dengan non-equivalent pretest -posttest design digunakan untuk menjawab pertanyaan penelitian. Satu manikin dada untuk Resusitasi Jantung Paru (RJP) digunakan sebagai low fidelity simulator dalam pelaksanaan simulasi BHD. 47 mahasiswa direkrut sebagai responden menggunakan metode purposive sampling dengan kriteria inklusi mahasiswa yang sedang mengikuti mata kuliah keperawatan gawat darurat dan setuju untuk berpartisipasi dalam penelitian. Selanjutnya, tanpa randomisasi, 23 responden dimasukkan dalam grup kontrol dan 24 responden dalam grup intervensi. Pengaruh low fidelity simulation terhadap self-efficacy mahasiswa diukur menggunakan kuisioner Basic Resuscitation Skills Self-Efficacy Scale (BRS-SES) yang terdiri dari 18 butir pernyataan dengan rentang jawaban 1 = tidak percaya diri, 2 = agak percaya diri, 3 = percaya diri, 4 = sangat percaya diri, dan 5 = sangat sangat percaya diri. Kuisioner diberikan kepada responden sebelum dan sesudah intervensi. Data yang terkumpul selanjutnya dianalisis menggunakan Analysis of Covariance (ANCOVA).Hasil: Mean skor self-efficacy mahasiswa keperawatan sebelum intervensi adalah 38.89 (SD=10.149), dan setelah intervensi adalah 47.17 (SD=13.099). Tidak terdapat perbedaan mean yang signifikan antara skor self-efficacy kelompok kontrol dan kelompok intervensi (F= 0.625, p>0.05). Dapat disimpulkan bahwa penggunaan metode low fidelity simulation tidak memiliki pengaruh signifikan terhadap peningkatan self-efficacy mahasiswa keperawatan.Simpulan: Meskipun penggunaan metode low fidelity simulation tidak memiliki pengaruh yang signifikan terhadap peningkatan self-efficacy mahasiswa keperawatan, namun metode ini dapat digunakan sebagai metode pembelajaran yang efektif untuk meningkatkan keterampilan dan kompetensi mahasiswa keperawatan.
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Ding, Man, Song Ming Jiao, Kun Fang Wang, and Pu Han. "Application Effects Influenced by Credibility of Simulator Models." Applied Mechanics and Materials 155-156 (February 2012): 3–6. http://dx.doi.org/10.4028/www.scientific.net/amm.155-156.3.

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This paper introduces how the simulator's credibility, which mainly includes the fidelity and accuracy, influences the practical application effects. Based on analyzing the factors that influence the physical fidelity and the mathematical model accuracy, an approach is put forward to improve the simulation precision. Furthermore, the paper summarized the practical values of the simulator and its function on scientific research.
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de Oliveira, Renan P., Guido Carim Junior, Bruno Pereira, David Hunter, Jeanine Drummond, and Marilyn Andre. "Systematic Literature Review on the Fidelity of Maritime Simulator Training." Education Sciences 12, no. 11 (November 15, 2022): 817. http://dx.doi.org/10.3390/educsci12110817.

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The fidelity of a maritime simulator refers to how realistic the representation of a vessel and its environment look, behave, and feel in real life. Despite the benefits of using simulators in maritime training and education, there is a lack of understanding of different debates on whether higher levels of fidelity translate into better training outcomes. Therefore, to investigate and summarise what is known about maritime simulator fidelity, we conducted a systematic literature review on the maritime simulator-based training literature from 2005 to 2021. We performed bibliometric, authorship, and content analyses of thirty-six references, including white and grey literature. The results show that simulator fidelity is divided into physical and functional fidelity. While the former includes the ergonomics layout of the bridge, visual system, vessel manoeuvrability, and hydrographic modelling, the latter involves training program design, simulator session design, and the role of the instructor. The results reveal that there is no prevalent tradition in the literature, a low number of citations, and the references are dispersed among many publications, authors, and institutions. Despite the fact that the prevalence of studies employing high-fidelity simulators can positively impact training, most of the studies are based on subjective evaluation, if any evidence is provided, and were produced by Scandinavian and European institutions and researchers. To address these limitations, we propose a research agenda containing three recommendations.
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Estock, Jamie L., Amy L. Alexander, Emily M. Stelzer, and Kathryn Baughman. "Impact of Visual Scene Field of View on F-16 Pilot Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 51, no. 2 (October 2007): 75–79. http://dx.doi.org/10.1177/154193120705100205.

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The tremendous expense and inherent dangers of training in the aircraft have led to the increased use of simulators for practicing and maintaining air combat skills; However, the advantages and disadvantages of using high or low-fidelity simulators for such training must be specified. An experiment was conducted to examine the in-simulator performance differences between pilots flying lower-fidelity simulators compared to higher-fidelity simulators. The primary difference between the two simulators is the visual scene field-of-view. Sixteen U.S. Air Force F-16 pilots flew standard training missions as an integrated team of four (a “four-ship”) with two pilots flying in the high-fidelity simulators and two pilots flying in the lower-fidelity simulators. Various subjective and objective measures were collected to assess the pilots' ability to maintain a briefed formation. Overall, the results suggest that pilots who practice four-ship employment in the lower-fidelity simulators can perform at the same level as those who practice in the high-fidelity simulators. Future analyses should be conducted to examine the impact of simulator fidelity on other air combat skills and on training effectiveness.
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Xu, Yin Hui, Fu Zhi Wang, Yi Long Liu, and Da Zhi Zeng. "Study on Echo Fidelity of Radar Simulator." Applied Mechanics and Materials 687-691 (November 2014): 1117–20. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1117.

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Echo fidelity is an important characteristic of radar simulator and it influences accuracy and reliability of radar test directly. This paper introduces the research status of simulator fidelity and sort out the definition and property of radar echo simulation fidelity. Then we propose the numerical calculation methods for individual indicators, including similarity calculation, dissimilarity computing and interval changes three parts. Finally, on the basis of the evaluation system, we propose two calculation methods for entirety fidelity, they are weighted numerical calculation and umbrella figure methods.
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Bush, Dylan, Christopher Lamb, and Andrew Braun. "Interrater Reliability of the Simulation Fidelity (SiFi) Scale." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 66, no. 1 (September 2022): 1982–86. http://dx.doi.org/10.1177/1071181322661073.

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A limitation of the extant research on the training effectiveness of high versus low fidelity simulation is the lack of a standardized methodology to define high and low fidelity in way that is generalizable across studies. This paper presents a novel approach to standardizing the definition of fidelity using The Simulation Fidelity (SiFi) scale. The SiFi scale is a 6-point scale used to rate the fidelity of a simulation. The present study examines the inter-rater reliability of the SiFi scale to define the fidelity of simulated task elements with respect to their real-world referent. Two subject matter experts (SMEs) completed a series of aviation maneuvers in a virtual reality (VR) simulator. Following the maneuvers, each SME provided 117 ratings of simulated elements using the SiFi scale. Cohen’s k was calculated to determine interrater reliability. Results of this analysis indicate strong reliability of the SiFi scale.
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Macnamara, Alexandra Frances, Katie Bird, Alan Rigby, Thozhukat Sathyapalan, and David Hepburn. "High-fidelity simulation and virtual reality: an evaluation of medical students’ experiences." BMJ Simulation and Technology Enhanced Learning 7, no. 6 (June 16, 2021): 528–35. http://dx.doi.org/10.1136/bmjstel-2020-000625.

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BackgroundSimulation technology is widely used in medical education, providing an environment in which students can develop and practise a multitude of skills that are relevant to clinical practice, without the risk of harm to patients.MethodsWe conducted a mixed methods cross-over study with quantitative and qualitative outcomes. This analysed students’ perceptions of two simulation technologies: a high-fidelity patient simulator and virtual reality. Twenty final year medical students completed a questionnaire after having experienced both simulation modalities.ResultsStudents scored the patient simulator higher in domains such as developing team working and ‘ABCDE assessment skills’, whereas the virtual reality simulation was more immersive and fun. Participants found the patient simulator more useful in preparing them for clinical practice.ConclusionMedical students in this study expressed that a high-fidelity patient simulator, in a simulated clinical environment, was of greater value to their preparation for clinical practice than virtual reality simulation of a similar environment. However, the virtual reality simulation offered a near comparable experience, and was found to be was enjoyable, immersive and easily portable.
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Dissertations / Theses on the topic "Simulator Fidelity"

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Le-Ngoc, Luan. "Augmenting low-fidelity flight simulation training devices via amplified head rotations." Thesis, Loughborough University, 2013. https://dspace.lboro.ac.uk/2134/14441.

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Due to economic and operational constraints, there is an increasing demand from aviation operators and training manufacturers to extract maximum training usage from the lower fidelity suite of flight simulators. It is possible to augment low-fidelity flight simulators to achieve equivalent performance compared to high-fidelity setups but at reduced cost and greater mobility. In particular for visual manoeuvres, the virtual reality technique of head-tracking amplification for virtual view control enables full field-of-regard access even with limited field-of-view displays. This research quantified the effects of this technique on piloting performance, workload and simulator sickness by applying it to a fixed-base, low-fidelity, low-cost flight simulator. In two separate simulator trials, participants had to land a simulated aircraft from a visual traffic circuit pattern whilst scanning for airborne traffic. Initially, a single augmented display was compared to the common triple display setup in front of the pilot. Starting from the base leg, pilots exhibited tighter turns closer to the desired ground track and were more actively conducting visual scans using the augmented display. This was followed up by a second experiment to quantify the scalability of augmentation towards larger displays and field of views. Task complexity was increased by starting the traffic pattern from the downwind leg. Triple displays in front of the pilot yielded the best compromise delivering flight performance and traffic detection scores just below the triple projectors but without an increase in track deviations and the pilots were also less prone to simulator sickness symptoms. This research demonstrated that head augmentation yields clear benefits of quick user adaptation, low-cost, ease of systems integration, together with the capability to negate the impact of display sizes yet without incurring significant penalties in workload and incurring simulator sickness. The impact of this research is that it facilitates future flight training solutions using this augmentation technique to meet budgetary and mobility requirements. This enables deployment of simulators in large numbers to deliver expanded mission rehearsal previously unattainable within this class of low-fidelity simulators, and with no restrictions for transfer to other training media.
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D’Alessandro, Carmine. "Risk perception during conditionally automated driving in low fidelity simulator." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18691.

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This work focuses on the type-3 self-driving cars, partially autonomous vehicles which can control themselves for most of the time and may ask the driver to take control of the car in case of specific situations. The purpose of this study is to evaluate the perception of the simulated risk faced by the participants in a low fidelity simulation in relation with their background: the gaming and driving experience. The participants of the study drove in the simulator and answered a questionnaire about both the driving session and the background information. The simulated risk was assessed and compared with the information from the questionnaire. It was evaluated both the performance of each participant represented by the level of risk experienced while driving the simulation and the correct identification of the risk faced. The result data highlighted a positive correlation between the driving performance and the videogame experience.
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Nyberg, Viktor. "Simulatorbaserad träning av Eco-driving." Thesis, Umeå universitet, Institutionen för psykologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-151096.

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Användandet av simulatorer i utbildningar ökar mer och mer. Simulatorer har använts inom pilotutbildningar och inom medicinsk utbildning länge och det finns mycket forskning som stödjer deras effektivitet. Nu har simulatorerna blivit mer tillgängliga i och med den tekniska utvecklingen och har börjat användas för förarutbildningar. Däremot saknas samma gedigna vetenskapliga stöd som finns för pilotutbildningar och medicinsk utbildning. Det finns visst underlag för utbildning i riskmedvetenhet men inte så många andra färdigheter. Syftet med studien var att undersöka hur effektiv en simulator är vid utbildning av förare i Eco-driving. Till studien rekryterades 20 elever från Yrkesakademin som utbildas för behörighet C, tung lastbil. Studien var av mellangruppsdesign där experimentgruppen tränade Eco-drivingfärdigheter och data över bränsleförbrukning och hastighet samlades in. Kontrollgruppen fick en teoretisk utbildning i Eco-driving i form av en inspelad video. Experimentgruppen hade en signifikant förbättring av bränsleförbrukning men inte kontrollgruppen. Detta stödjer effektiviteten av simulatorbaserad utbildning av Eco-driving. Resultaten är även uppmuntrande till träning av liknande färdigheter som bland annat är av betydelse för trafiksäkerhet. Dessutom finns det goda möjligheter att minska kostnaderna vid förarutbildningar samtidigt som eleverna lär sig bättre.
The use of of simulators in education is increasing. The aviation and medical education have a long history of implementing simulator training and education. With a strong body of scientific research that validates their use in education. As the technical development has increased, the availability of affordable simulators has increased their use in driver education. Unfortunately the research is not as strong as with the aviation or medical education. There are some support that simulator-based education can improve hazard perception but not so many other skills. Therefore I want to examine the effectiveness of a simulator in teaching Eco-driving skills to drivers. 20 students from Yrkesakademin were recruited as they were learning to drive trucks. The study is of between group design where the experimental group practiced Eco-driving skills in the simulator. Data were collected of the participants fuel consumption and speed. The control group were shown a video lecture on Eco-driving. The experimental group did significant improve while the control group did not. These results support the effectiveness of simulator-based education of Eco-driving skills. It also is encouraging for similar driving skills that can have a significant effect on traffic safety. While there is encouraging evidence for reducing the cost of driver education at the same time the students learning is enhanced.
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Muncie, Helen. "Design and Development of a Bus Simulator for Bus Driver." Thesis, Cranfield University, 2006. http://hdl.handle.net/1826/4469.

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The bus industry is plagued by high accident costs and risks of passenger injuries. A bus simulator may offer a method of reducing accident rates by delivering targeted training to bus drivers who are most at risk. The first part of this thesis describes the design of the UK's first bus simulator, the fidelity of which was based on a thorough analysis of bus crashes. The second part describes the first studies in a multi-staged method to evaluate the training effectiveness of the simulator: face validity, effects of bus driver experience and stress on simulated performance and simulator sickness. This approach ensured that the ABS has a reasonable level of fidelity, is capable of eliciting behaviourally valid responses from bus drivers and is the first step is achieving training transfer effectiveness. The final study investigated the occurrence of self-bias in bus drivers. The conclusions drove the design of simulated scenarios to be used for bus driver training. Keywords: Bus, Simulator, Fidelity, Validity, Accidents, Driving, Stress, Training
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Holbrook, Heather Anne. "An Exploration of High-Fidelity Virtual Training Simulators on Learners' Self-Efficacy: A Mixed Methods Study." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/26621.

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In this world of fast-paced learning, training agencies often require their learners to acquire the knowledge and skills needed for a job at an expedited rate. Because of this rapid form of training, learners are sometimes uncertain about their abilities to execute task-based performances. This uncertainty can lead to a decrease in learners’ self-efficacy on expected task performance. In order to help with this training, trainers are using a variety of simulations and simulators to provide learners’ valuable and necessary training experiences. This mixed methods study explored the influence of high-fidelity virtual training simulators on learners’ self-efficacy. It used pre- and post-simulation-use surveys that combined general self-efficacy questions (Schwarzer & Jerusalem, 1995) and task-specific self-efficacy questions (Bandura, 1977, 1997, 2006; Bandura, Adams, Hardy, & Howells, 1980). This study had a sample size of 18 participants. It was assumed that the intent of providing learners with the vital experience needed to perform specific tasks in a high-fidelity virtual training simulator was to increase their self-efficacy on task-specific criteria. Instead, through surveys, observations, and interviews, the research revealed a decrease in learners’ self-efficacy due to heightened emotional arousal stemming from the learners’ experiences with the level of realism the simulator provide, as well as with breakdowns within the simulator. The breakdowns and the realism were the most influential aspects that influenced self-efficacy in this study. The significance of these findings shows that despite learners wanting to use high-fidelity virtual training simulators, improperly functioning simulators can negatively influence learners’ self-efficacy in task-based performances.
Ph. D.
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Pluim, Jonathon Douglas. "DESIGN OF A HIGH FIDELITY WAKE SIMULATOR FOR RESEARCH USING LINEAR CASCADES." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244039010.

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Bozeman, Laura Ann. "The fidelity of low vision simulator systems in clinical and functional settings /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Penhallegon, William James. "Effects of display type, age, and gender on driving performance and simulator-induced sickness in a medium-fidelity driving simulator." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/43717.

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This study investigated the link between age and gender susceptibility to simulator-induced sickness in conjunction with display type. Simulator-induced sickness and ataxia were measured before and after exposure to a medium-fidelity driving simulator. Participants in four age and gender categories (older and younger males and females) operated the simulator with a consumer-grade head-mounted display (HMD), and then with a large screen, direct-view plasma display.

This study set out to recommend a particular display type that would be appropriate for use with particular age/gender groups in a general-purpose driving simulator. Unfortunately, practice effects affected the simulator-induced sickness and driving performance results for display type, which precludes making recommendations regarding the appropriate use of each display. Despite this, several important discoveries were made, including: 1) older participants did experience significantly increased simulator-induced sickness discomfort than the younger participants - regardless of display type; and 2) there was no significant difference found between genders in either simulator-induced sickness or driving performance; although females generally expressed a subjective preference for the direct-view display.

Display type was not found to affect the degree of ataxia experienced by participants; however, this study did find that although older participants exhibited significantly higher rates of simulator-induced sickness discomfort than the younger participants, they recovered their postural equilibrium significantly faster. This indicates that the older participants had greater difficulty adapting to the simulation environment than younger persons. It also suggests that younger persons are at greater risk during immediate post-simulation activities such as driving. Although it is likely that this effect would disappear over time, it has implications for agencies such as the Department of Motor Vehicles or drivers education schools that are considering the use of a driving simulator device before an on-road skills test.
Master of Science

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Durham, Jane K. "Knowledge Accessed and Used by Nursing Education Students During a High Fidelity Patient Simulator Experience." University of Toledo / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1501518620737791.

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Perala, Chuck H. "Effects of display type and steering force feedback on performance in a medium-fidelity driving simulator." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/32253.

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Research has shown that head-mounted displays can produce greater presence in a virtual environment than direct-view displays. It has also been shown that after vision, haptic response is one of the most important inputs for humans in a simulated environment. This research was designed primarily to determine the performance differences associated with different display types, levels of steering force feedback, and the interaction between these two factors in a low-to-medium fidelity, PC-based driving simulator. Participants drove on a simulated driving course during which both objective driving performance data were collected (lane deviation, speed control, steering wheel angle variance, and time to the complete course) as well as subjective self-report measures including questionnaires designed to tap immersive tendencies and perceived levels of presence. Results of the research show that the use of a head-mounted display can significantly impact driving performance in terms of speed control and lane deviation. Speed control was significantly improved (increased) and lane deviation was significantly improved (decreased) in three of the four roadway segments with the use of an HMD. Results for active steering force feedback, however, showed a significantly negative effect on driving performance with an increase in average lane deviation. Descriptive statistics showed that participants preferred the HMD and D-V equally and all but one participant preferred active steering force feedback.
Master of Science
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Books on the topic "Simulator Fidelity"

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Papelis, Ginger Watson. Simulator effects in a high fidelity driving simulator as a function of visuals and motion. Orlando, Fla: Institute for Simulation and Training, 1995.

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Carr, Peter C. Analysis procedures and subjective flights results of a simulator validation and cue fidelity experiment. Edwards, Calif: National Aeronautics and Space Administration, Ames Research Center, Dryden Flight Research Facility, 1988.

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Hays, Robert T., and Michael J. Singer, eds. Simulation Fidelity in Training System Design. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3564-4.

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1941-, Lashley Felissa R., ed. High-fidelity patient simulation in nursing education. Sudbury, Mass: Jones and Bartlett Publishers, 2010.

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A, Carroll Lynn, Bell Herbert H, and Armstrong Laboratory (U.S.), eds. The future of selective fidelity in training devices. Brooks Air Force Base, Tex: Armstrong Laboratory, Air Force Materiel Command, 1996.

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Woolridge, Nicholas. Achieving mid-fidelity in clinical simulation: A computer-based approach. Ottawa: National Library of Canada, 1996.

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Ballin, Mark G. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: Ames Research Center, 1988.

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8

Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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Center, Ames Research, ed. A high fidelity real-time simulation of a small turboshaft engine. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1988.

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Book chapters on the topic "Simulator Fidelity"

1

Neubauer, Catherine, Peter Khooshabeh, and Julia Campbell. "When Less is More: Studying the Role of Functional Fidelity in a Low Fidelity Mixed-Reality Tank Simulator." In Advances in Intelligent Systems and Computing, 220–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60591-3_20.

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Igoshina, Elizaveta, Frank A. Russo, Bruce Haycock, and Behrang Keshavarz. "Comparing the Effect of Airflow Direction on Simulator Sickness and User Comfort in a High-Fidelity Driving Simulator." In Lecture Notes in Computer Science, 208–20. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06015-1_15.

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Du, Jianrui, Yingjun Fan, Kaidi Wang, Yuting Feng, and Yushu Yu. "AeroBotSim: A High-Photo-Fidelity Simulator for Heterogeneous Aerial Systems Under Physical Interaction." In Communications in Computer and Information Science, 274–87. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-0617-8_19.

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Schnell, Tom, Alex Postnikov, and Nancy Hamel. "Neuroergonomic Assessment of Simulator Fidelity in an Aviation Centric Live Virtual Constructive (LVC) Application." In Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 221–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21852-1_28.

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Santarelli, Chiara, Luca Puggelli, Monica Carfagni, and Lapo Governi. "Preliminary Study of a High-Fidelity Simulator for the Management of Paediatric Tracheal Pathologies." In Lecture Notes in Mechanical Engineering, 773–84. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91234-5_78.

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Liu, Dahai, Jiahao Yu, Nikolas D. Macchiarella, and Dennis A. Vincenzi. "Simulation Fidelity." In Human Factors in Simulation and Training, 91–108. 2nd ed. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003401360-3.

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Lee, Alfred T. "Quantifying Perceptual Fidelity." In Vehicle Simulation, 111–29. Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/b22297-6.

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Lee, Alfred T. "The Problem of Fidelity." In Vehicle Simulation, 1–17. Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/b22297-1.

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Itoh, Makoto, Masashi Kawase, Keita Matsuzaki, Katsumi Yamamoto, Shin’ichi Yokoyama, and Masaaki Okada. "Comparison of Cognitively Impaired, Healthy Non-Professional and Healthy Professional Driver Behavior on a Small and Low-Fidelity Driving Simulator." In Human Interface and the Management of Information. Information and Interaction for Health, Safety, Mobility and Complex Environments, 490–96. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39215-3_56.

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Stanley, Barbara. "High-Fidelity Simulation in Neuroanaesthesia." In Comprehensive Healthcare Simulation: Neurosurgery, 315–21. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75583-0_23.

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Conference papers on the topic "Simulator Fidelity"

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Rong, Guodong, Byung Hyun Shin, Hadi Tabatabaee, Qiang Lu, Steve Lemke, Martins Mozeiko, Eric Boise, et al. "LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving." In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2020. http://dx.doi.org/10.1109/itsc45102.2020.9294422.

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Zheng, Shupeng, Jingfeng He, Jun Jin, and Junwei Han. "DDS Based High Fidelity Flight Simulator." In 2009 WASE International Conference on Information Engineering (ICIE). IEEE, 2009. http://dx.doi.org/10.1109/icie.2009.61.

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Himmels, Chantal, Teresa Rock, Joost Venrooij, and Andreas Riener. "Simulator Fidelity Influences the Sense of Presence in Driving Simulators." In AutomotiveUI '22: 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3544999.3552526.

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MERRIKEN, MICHAEL, WILLIAM JOHNSON, and GARY RICCIO. "Temporal fidelity in aircraft simulator visual systems." In Flight Simulation Technologies Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1987. http://dx.doi.org/10.2514/6.1987-2372.

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Arikatla, Venkata S., Mohit Tyagi, Andinet Enquobahrie, Tung Nguyen, George H. Blakey, Ray White, and Beatriz Paniagua. "High fidelity virtual reality orthognathic surgery simulator." In Image-Guided Procedures, Robotic Interventions, and Modeling, edited by Robert J. Webster and Baowei Fei. SPIE, 2018. http://dx.doi.org/10.1117/12.2293690.

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Zeyada, Yasser, and Ronald Hess. "Computer-Aided Assessment of Flight Simulator Fidelity." In AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-4693.

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Al-Enany, Mohammed, and Adrian Vos. "Operator training simulator from fidelity to reality." In RDPETRO 2018: Research and Development Petroleum Conference and Exhibition, Abu Dhabi, UAE, 9-10 May 2018. American Association of Petroleum Geologists, Society of Exploration Geophysicists, European Association of Geoscientists and Engineers, and Society of Petroleum Engineers, 2018. http://dx.doi.org/10.1190/rdp2018-41273554.1.

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Braun, David, and R. Thomas Galloway. "Universal Automated Flight Simulator Fidelity Test System." In AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-5269.

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Podzus, Philipp, Jur Crijnen, Michael Jones, Stefan van'tHoff, and Paul Breed. "Evaluation of Simulator Cueing Fidelity for Rotorcraft Certification by Simulation." In Vertical Flight Society 78th Annual Forum & Technology Display. The Vertical Flight Society, 2022. http://dx.doi.org/10.4050/f-0078-2022-17572.

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Before their entry into service, newly developed rotorcraft must go through an extensive certification process in order to receive a type certificate from the certification authority. A vital and long-lasting phase of this process is the compliance demonstration. This phase involves a large amount of flight testing, which leads to high expenses for the rotorcraft manufacturer and can be considered as high-risk when it comes to rotorcraft safety, especially for scenarios including control system or engine failures, as in the case of a category-A rejected take-off (CAT-A RTO). The Rotorcraft Certification by Simulation (RoCS) CleanSky2 research project aims to reduce the amount of flight testing required for compliance demonstration by using flight simulation, to achieve an increase in safety (less hazardous situations) and effectiveness, and a reduction in certification duration and costs. Within the project, pilot-in-the-loop simulator test campaigns were conducted at DLR and NLR, investigating the visual cueing fidelity required for performing a CAT-A RTO scenario. Emphasis was put on varying the available field of view (FoV) for the pilot and investigating the suitability of virtual reality (VR) devices. Subjective and objective results from these simulator campaigns, as well as pilot comments are presented in this paper.
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LEVISON, WILLIAM. "Model-based guidelines for simulator temporal fidelity requirements." In Flight Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1989. http://dx.doi.org/10.2514/6.1989-3271.

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Reports on the topic "Simulator Fidelity"

1

Allen, John, Louis Buffardi, and Robert Hays. The Relationship of Simulator Fidelity to Task and Performance Variables. Fort Belvoir, VA: Defense Technical Information Center, June 1991. http://dx.doi.org/10.21236/ada238941.

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Flueck, Alex. High Fidelity, “Faster than Real-Time” Simulator for Predicting Power System Dynamic Behavior - Final Technical Report. Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1369569.

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Gossage, B., W. Roark, J. Bass, J. Kyser, and D. Salazar. Mixed Fidelity Simulation Technology Development. Fort Belvoir, VA: Defense Technical Information Center, March 1997. http://dx.doi.org/10.21236/ada324540.

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Walizer, Laura, Robert Haehnel, Luke Allen, and Yonghu Wenren. Application of multi-fidelity methods to rotorcraft performance assessment. Engineer Research and Development Center (U.S.), May 2024. http://dx.doi.org/10.21079/11681/48474.

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We present a Python-based multi-fidelity tool to estimate rotorcraft performance metrics. We use Gaussian-Process regression (GPR) methods to adaptively build a surrogate model using a small number of high-fidelity CFD points to improve estimates of performance metrics from a medium-fidelity comprehensive analysis model. To include GPR methods in our framework, we used the EmuKit Python package. Our framework adaptively chooses new high-fidelity points to run in regions where the model variance is high. These high-fidelity points are used to update the GPR model; convergence is reached when model variance is below a pre-determined level. To efficiently use our framework on large computer clusters, we implemented this in Galaxy Simulation Builder, an analysis tool that is designed to work on large parallel computing environments. The program is modular, and is designed to be agnostic to the number and names of dependent variables and to the number and identifying labels of the fidelity levels. We demonstrate our multi-fidelity modeling framework on a rotorcraft collective sweep (hover) simulation and compare the accuracy and time savings of the GPR model to that of a simulation run with CFD only.
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Palmiotti, G., M. Smith, C. Rabiti, E. Lewis, W. Yang, M. Leclere, A. Siegel, et al. Status report on high fidelity reactor simulation. Office of Scientific and Technical Information (OSTI), December 2006. http://dx.doi.org/10.2172/898580.

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Qureshi, Kristine, and Denise Hopkins-Chadwick. Simulation Learning: PC-Screen Based (PCSB) versus High Fidelity Simulation (HFS). Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada566946.

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Bingham, Barry L. Frequency Domain Analysis of High Explosive Simulation Technique Fidelity. Fort Belvoir, VA: Defense Technical Information Center, March 1985. http://dx.doi.org/10.21236/ada166106.

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Was, Gary, Brian Wirth, Athur Motta, Dane Morgan, Djamel Kaoumi, Peter Hosemann, and Robert Odette. High Fidelity Ion Beam Simulation of High Dose Neutron Irradiation. Office of Scientific and Technical Information (OSTI), April 2018. http://dx.doi.org/10.2172/1437129.

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Dicola, John, David Mutschler, Lawrence Ullom, and Peter Fischer. Improving Munition Simulation Fidelity Through Use of an Ordnance Server,. Fort Belvoir, VA: Defense Technical Information Center, May 1996. http://dx.doi.org/10.21236/ada309808.

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Beiker, Sven. Select Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation Unsettled Issues in Determining Appropriate Modeling Fidelity for Automated Driving Systems Simulation. SAE International, December 2019. http://dx.doi.org/10.4271/epr2019007.

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