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Dive into the research topics where Casey Kovesdi is active.

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Featured researches published by Casey Kovesdi.


Nuclear Technology | 2018

Application of Eye Tracking for Measurement and Evaluation in Human Factors Studies in Control Room Modernization

Casey Kovesdi; Zachary Spielman; Katya LeBlanc; Brandon Rice

Abstract An important element of human factors engineering (HFE) pertains to measurement and evaluation (M&E). The role of HFE-M&E should be integrated throughout the entire control room modernization (CRM) process and be used for human–system performance evaluation and diagnostic purposes to resolve potential human engineering deficiencies and other human–machine interface design issues. NUREG-0711 describes how HFE in CRM should employ a hierarchical set of measures, particularly during integrated system validation, including plant performance, personnel task performance, situation awareness, cognitive workload, and anthropometric/physiological factors. Historically, subjective measures have been primarily used since they are easier to collect and do not require specialized equipment. However, there are pitfalls with relying solely on subjective measures in M&E such as negatively impacting reliability, sensitivity, and objectivity. As part of comprehensively capturing a diverse set of measures that strengthen findings and inferences made about the benefits from emerging technologies like advanced displays, this paper discusses the value of using eye tracking as an objective method that can be used in M&E. A brief description of eye tracking technology and relevant eye tracking measures is provided. Additionally, technical considerations and the unique challenges with using eye tracking in full-scale simulations are addressed. Finally, this paper shares preliminary findings regarding the use of a wearable eye tracking system in a full–scale simulator study. These findings should help guide future full–scale simulator studies using eye tracking as a methodology to evaluate human-system performance.


Archive | 2019

Ergonomic Safety and Health Activities to Support Commercial Nuclear Power Plant Control Room Modernization in the United States

Jeffrey C. Joe; Casey Kovesdi; Jacques Hugo; Gordon Clefton

Affordable, abundant, and reliable electricity generation is essential to fueling a nation’s robust and globally competitive economy. In the United States (U.S.), commercial nuclear power plants (NPPs) account for approximately 19% of reliable and cost-competitive base load electricity generation. Other technologies that reduce reliance on fossil fuels and provide base load electricity cost-competitively at a national scale are still under development. Thus, without suitable replacements for nuclear power, the generating capacity of nuclear energy in the U.S. must be continued through the safe and efficient operation of commercial NPPs. The U.S. Department of Energy’s (DOE) Light Water Reactor Sustainability (LWRS) research and development (R&D) program provides the technical bases for the long-term, safe, and economical operation of NPPs. One area in the LWRS program is the Plant Modernization pathway, which includes human factors R&D, human factors engineering (HFE), and ergonomics to enable the modernization of the instrumentation and control (I&C) technologies in NPP main control rooms. DOE researchers, including ergonomics specialists at Idaho National Laboratory (INL), have collaborated with numerous commercial NPP utilities over the last few years on control room modernization. This paper summarizes recent ergonomics safety and health R&D and HFE performed in collaboration with a U.S. commercial utility to modernize their NPP control rooms.


Nuclear Technology | 2018

A Comparison Study of Operator Preference and Performance for Analog Versus Digital Turbine Control Systems in Control Room Modernization

Ronald L. Boring; Thomas A. Ulrich; Roger Lew; Casey Kovesdi; Ahmad Al Rashdan

Abstract An operator-in-the-loop study was conducted in support of control room modernization for a nuclear power plant. The study featured a benchmark comparison on a glass-top simulator of three variants of a turbine control system (TCS): (1) the existing analog TCS, (2) a proposed stand-alone digital TCS with two displays, and (3) the digital TCS with the addition of a third display consisting of a system overview screen. TCS prototypes were developed to allow formative evaluation of operator preferences and performance during realistic turbine scenarios in the full-scope simulator. The study revealed that completion of turbine startup was several minutes faster with the digital TCS variants than with the conventional analog TCS. Eye-tracking fixations were more widely distributed in the overview versus stand-alone TCS condition, suggesting the overview screen was cueing reactor operators to verify values across the boards. There was no significant difference in workload or situation awareness across the three interfaces. Reviewing key plant parameters showed smoother transitions during load-following for the digital-versus-analog TCS. Despite some performance advantages for the digital TCS variants, operators preferred the existing analog TCS. Open-ended responses suggested this finding may be more an artifact of familiarity than a reflection of dissatisfaction with the new TCS. The study provides compelling evidence that the new digital TCS was used successfully by the operators, suggesting high usability for the digital TCS design. Further advantages were realized through the addition of the system overview screen to provide crews with at-a-glance indicators of key turbine parameters.


International Conference on Applied Human Factors and Ergonomics | 2018

Quantifying the Contribution of Individual Display Features on Fixation Duration to Support Human-System Interface Design in Nuclear Power Plants

Casey Kovesdi; Katya Le Blanc; Zachary Spielman; Rachael Hill; Johanna Oxstrand

The integration of new digital instrumentation and control (I&C) technologies like advanced human-system interfaces in U.S. nuclear power plant main control rooms is important for addressing long-term aging and obsolescence of existing I&C. Nonetheless, attention should be made to ensure these technologies reflect state-of-the-art human factors engineering (HFE) principles. Often, there is conflicting guidance from one guideline to another, requiring the analyst to make a judgment call on addressing these ‘tradeoffs.’ The objective of this research was to inform the analyst of these tradeoffs through an empirical investigation of how certain display features that characterize common HFE guidelines concerning visual clutter and saliency influence information processing in a naturalistic context. By understanding the unique contribution of each display feature using a multilevel model, the HFE analyst should have an understanding of the interrelations of each feature with its impact on cognitive processes. Results and implications are discussed in this paper.


International Conference on Applied Human Factors and Ergonomics | 2018

A Guide for Selecting Appropriate Human Factors Methods and Measures in Control Room Modernization Efforts in Nuclear Power Plants

Casey Kovesdi; Jeffrey C. Joe; Ronald L. Boring

Many of the U.S. nuclear power plants are approaching the end of their 60-year licensing period. The U.S. Department of Energy Light Water Reactor Sustainability Program is conducting targeted research to extend the lives and ensure long-term reliability, productivity, safety, and security of these plants through targeted research, such as integrating advanced digital instrumentation and control technologies in the main control room. There are many challenges to this, one being the integration of human factors engineering in the design and evaluation of these upgrades. This paper builds upon recent efforts in developing utility-specific guidance for integrating human factors engineering in the control room modernization process by providing commonly used data collection methods that are applicable at various phases of the upgrade process. Advantages and disadvantages of each method are provided for consideration of an optimal human factors evaluation plan to be used throughout the lifespan of the upgrade process.


Archive | 2015

Measuring Human Performance in Simulated Nuclear Power Plant Control Rooms Using Eye Tracking

Casey Kovesdi; Brandon Rice; Gordon R. Bower; Zachary Spielman; Rachael Hill; Katya LeBlanc


Progress in Nuclear Energy | 2018

The strategic value of human factors engineering in control room modernization

Jacques Hugo; Casey Kovesdi; Jeffrey C. Joe


Archive | 2018

Connecting LWRS Human Factor Engineering R&D to NUREG-0711 Elements and Modification Activities in Nuclear Power Plants

Jeffrey C. Joe; Casey Kovesdi; Gordon Clefton


Archive | 2017

Prototype Design, Analysis, and Results for a Liquid Radiological Waste Control Room

Casey Kovesdi; Rachael Hill; Johanna Oxstrand; Zachary Spielman; Katya Le Blanc; Tyson Hansen


Archive | 2017

Evaluation of Control Room Interface Designs to Support Modernization in Nuclear Power Plants

Katya Le Blanc; Casey Kovesdi; Rachael Hill; Zachary Spielman; Johanna Oxtstrand; Tyson Hansen

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Jeffrey C. Joe

Idaho National Laboratory

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Rachael Hill

Idaho National Laboratory

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Brandon Rice

Idaho National Laboratory

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Katya Le Blanc

Idaho National Laboratory

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Jacques Hugo

Idaho National Laboratory

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Katya LeBlanc

Idaho National Laboratory

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