Relevant bibliographies by topics / Human Error Probability

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Human Error Probability'

Author: Grafiati
Published: 28 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Human Error Probability"

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Guo, Yundong, and Xinshi Suo. "Flight safety assessment based on a modified human error risk quantification approach." PLOS ONE 19, no. 4 (2024): e0302511. http://dx.doi.org/10.1371/journal.pone.0302511.

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In risk and safety assessments of aviation systems, engineers generally pay more attention to the risks of hardware or software failure and focus less on the risks caused by human errors. In this paper, a (FRAHE) method is proposed for identifying this critical error type and determining the risk severity of human errors. This method accounts for the human error probability as well as the impacts of human errors on the system. The fuzzy inference approach is employed in this paper to address the uncertainty and issues of imprecision that arise from insufficient information and scarce error dat
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Taylor-Adams, Sally E. "CORE-DATA, A Human Error Probability Database." Safety and Reliability 13, no. 4 (1993): 6–16. http://dx.doi.org/10.1080/09617353.1993.11690625.

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Basra, Gurpreet, and Barry Kirwan. "Collection of offshore human error probability data." Reliability Engineering & System Safety 61, no. 1-2 (1998): 77–93. http://dx.doi.org/10.1016/s0951-8320(97)00064-1.

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Ebrahemzadih, Mehrzad, Roya Nazari, Somayeh Rahimimoghadam, Mahdi Jalali, and Farshad Foroghinasab. "Human error probability in the emergency evacuation." Sigurnost 65, no. 4 (2024): 435–43. http://dx.doi.org/10.31306/s.65.4.6.

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This study aims to determine the human error probability during the emergency evacuation of offshore platforms with the HEART technique. In this study, after completing an emergency maneuver with a fire and explosion scenario, the HTA method was used to identify and segregate the emergency evacuation activities, and the HEART technique was utilized to estimate the human error probability. Lastly, suitable control measures were suggested based on the evaluation's findings. In the event of a fire and explosion, the safest means of evacuating people and leaving the platform include evacuation by
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Liu, Zhao Xia, and Lian Jun Chen. "Post-Accident Human Reliability Analysis and Control of Mine Hoisting System." Advanced Materials Research 616-618 (December 2012): 461–64. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.461.

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Using the method of THERPand HCR this paper studies post- accident human error events of mine hoisting system which reflects accident consequence seriousness and accident treatment urgency. It ascertains cognitive failure probability P1, non-response probability P2 and the failure probability P3, and quantities and appraises degree of human reliability. Finally this paper analyzes causes of hoisting accident human errors ,by which probability human error can be reduced to the lowest limit.
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Xi, Yong Tao, and Chong Guo. "A Method for Marine Human Error Probability Estimate: APJE-SLIM." Applied Mechanics and Materials 97-98 (September 2011): 825–30. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.825.

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Safety is the eternal theme in shipping industry. Research shows that human error is the main reason of maritime accidents. Therefore, it is very necessary to research marine human errors, to discuss the contexts which caused human errors and how the contexts effect human behavior. Based on the detailed investigation of human errors in collision avoidance behavior which is the most key mission in navigation and the Performance Shaping Factors (PSFs), human reliability of mariners in collision avoidance was analyzed by using the integration of APJE and SLIM. Result shows that this combined meth
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Yang, Wei Jun, and Peng Xiao Jiang. "The Probability Analysis of Human Error in Teaching." Applied Mechanics and Materials 239-240 (December 2012): 1611–14. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1611.

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This paper thoroughly analyzed the human error in teaching work of colleges and universities, discussed its causes, mode and consequences, proposed the probability analysis methods. The analysis can be treated as a reference to prevent, control and management human error in teaching work for colleges and universities.
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Visser, M., and P. A. Wieringa. "PREHEP: human error probability based process unit selection." IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews) 31, no. 1 (2001): 1–15. http://dx.doi.org/10.1109/5326.923264.

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Biočić, Tonći, Nermin Hasanspahić, Miho Kristić, and Ivica Đurđević-Tomaš. "Estimating the Human Error Probability during Lifeboat Drills." Applied Sciences 14, no. 14 (2024): 6221. http://dx.doi.org/10.3390/app14146221.

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Lifeboats are life-saving equipment used when it is necessary to abandon a ship or, in some ships, for man-overboard situations (to collect persons from water). Every seafarer onboard a ship has a task related to lifeboat operation in an emergency. In order to master and practise the assigned tasks, be ready to react at any moment, and efficiently use life-saving equipment and appliances, seafarers on ships perform drills at prescribed intervals. Effective drill performance is of paramount importance, as it improves safety and enables crew members to practise lifeboat operations. However, alth
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Sun, Zhiqiang, Zhengyi Li, Erling Gong, and Hongwei Xie. "Estimating Human Error Probability using a modified CREAM." Reliability Engineering & System Safety 100 (April 2012): 28–32. http://dx.doi.org/10.1016/j.ress.2011.12.017.

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Dissertations / Theses on the topic "Human Error Probability"

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Burford, Eva-Maria. "The analysis of the strain level and the predicted human error probability for critical hospital tasks." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1005182.

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South African hospitals, as a result of numerous factors, have the problem of an increasing workload for nursing staff, which in turn may affect patient treatment quality. This project aimed at addressing patient treatment quality specifically from the perspective of worker capabilities by investigating the strain level and predicted human error probability associated with specific patient-centered tasks in the South African health care sector. This was achieved through two independent yet interlinked studies which focused on seven patient-centred tasks. The tasks analysed were the tasks of se
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Jakl, Tomáš. "Posouzení lidského činitele při obsluze vybraného stroje." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443165.

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The master thesis is focused on the reliability of the human factor in the operation of the production machine. In the first part the basic legislative requirements for safety and reliability of work are presented. In the second part, the reliability of the human factor is discussed along with a description of selected methods for assessing the reliability of the human factor. The research section then concludes with a proposed methodology for human factors assessment for the manufacturing process. In the practical part, the proposed methodology is applied to the selected process, which includ
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NASCIMENTO, CLAUDIO S. do. "Aplicacao da metodologia fuzzy na quantificacao da probabilidade de erro humano em instalacoes nucleares." reponame:Repositório Institucional do IPEN, 2010. http://repositorio.ipen.br:8080/xmlui/handle/123456789/9496.

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Made available in DSpace on 2014-10-09T12:27:19Z (GMT). No. of bitstreams: 0<br>Made available in DSpace on 2014-10-09T13:59:13Z (GMT). No. of bitstreams: 0<br>Dissertacao (Mestrado)<br>IPEN/D<br>Instituto de Pesquisas Energeticas e Nucleares - IPEN-CNEN/SP
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Shen, Wei-min, and 沈暐閔. "Development of a quantitative human-error-probability method based on fuzzy set theory." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/90770927507729188482.

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碩士<br>國立臺灣海洋大學<br>商船學系所<br>97<br>Human errors occur so long as activities taken place involve human-beings regardless of domains and operations in which such performances are undertaken. Statistically, Human error is one of the crucial factors contributing to accidents. Accordingly, the human error study is a very important topic and a variety of human reliability assessment (HRA) methods has been developed to tackle such problems. The HRA approach can be divided into three categories, those using a database, using expert judgment and those using quasi-expert-judgment. The approaches falling i
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Cavallo, Daniela. "Computational models for the dynamic assessment of operator’s mental fatigue and the human error probability in production processes." Doctoral thesis, 2022. https://hdl.handle.net/11589/245804.

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Nell’ultimo decennio è incrementato l’utilizzo delle tecnologie nelle attività quotidiane e negli ambienti di lavoro in cui il fabbisogno di risorse cognitive sembra aumentare mentre il livello di sforzo fisico sembra diminuire. I rapidi sviluppi della cosiddetta “Internet delle cose” (Internet of Things - IoT) e dei suoi nuovi archetipi di automazione nei sistemi cyber-fisici, nonché l'aumento dei requisiti analitici derivanti dalla necessità di analizzare una grande quantità di dati sono alcuni esempi di elementi alla base che segnano una maggiore richiesta cognitiva degli individui di svolg
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Islam, TMR. "Human reliability assessments for the maintenance operation of marine systems." Thesis, 2017. https://eprints.utas.edu.au/23790/7/Islam_whole_thesis_ex_pub_mat.pdf.

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Human intervention plays a critical role in the maintenance operations of marine systems. Consequently human factors are identified as one of the main causes of accidents in marine systems especially during maintenance operations. Characterisation and assessments of human factors in the form of Human Reliability Assessment (HRA) is an important step to better understand accident causation during maintenance operations. This would help minimize human errors and enhance overall safety and reliability of the marine systems. The International Maritime Organization (IMO) recommends implementing HRA
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Books on the topic "Human Error Probability"

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Gibson, W. Huw. The implementation of CORE-DATA, a computerised human error probability database. HSE Books, 1999.

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Schneider, Jörg, and Ton Vrouwenvelder. Introduction to safety and reliability of structures. 3rd ed. International Association for Bridge and Structural Engineering (IABSE), 1997. http://dx.doi.org/10.2749/sed005.

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&lt;p&gt;Society expects that buildings and other structures are safe for the people who use them or who are near them. The failure of a building or structure is expected to be an extremely rare event. Thus, society implicitly relies on the expertise of the professionals involved in the planning, design, construction, operation and maintenance of the structures it uses.&lt;p&gt;Structural engineers devote all their effort to meeting society’s expectations effi ciently. Engineers and scientists work together to develop solutions to structural problems. Given that nothing is absolutely and etern
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executive, Health and safety. The Implementation of Core Data, a Computerised Human Error Probability Database. Health and Safety Executive (HSE), 1999.

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Osterlind, Steven J. The Error of Truth. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198831600.001.0001.

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The Error of Truth recounts the astonishing and unexpected tale of how quantitative thinking was invented and rose to primacy in our lives in the nineteenth and early twentieth centuries, bringing us to an entirely new perspective on what we know about the world and how we know it—even on what we each think about ourselves. Quantitative thinking is our inclination to view natural and everyday phenomena through a lens of measurable events, with forecasts, odds, predictions, and likelihood playing a dominant part. This worldview, or Weltanschauung, is unlike anything humankind had before, and it
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Ryle, Cym Anthony. Risk and Reason in Clinical Diagnosis. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190944001.001.0001.

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This book provides, without the use of specialist language, a description of diagnostic reasoning and error and a discussion of steps that could improve diagnostic accuracy. Drawing on work in cognitive psychology, it presents the key characteristics of human reasoning. It notes that complex cognitive tasks such as medical diagnosis require a synergy of intuition and analytical thinking and introduces the concept of bias. The book considers the value of current classifications of disease, the meaning of diagnostic thresholds, and the potential for overdiagnosis. It examines the role of the pat
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Book chapters on the topic "Human Error Probability"

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Thomas, Lauren J., and Kathy H. Abbott. "The Devil Between the Details: Limitations of Probability-Based Approaches to Human Error." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-76824-8_23.

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Gyoji, Hikaru, Tania Giovannetti, Rachel Mis, et al. "Statistical Analysis of Micro-error Occurrence Probability for the Fitts’ Law-Based Pointing Task." In Human Interface and the Management of Information. Visual Information and Knowledge Management. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22660-2_22.

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Ayele, Y., and A. Barabadi. "Human error probability estimation of maintenance activities in cold operating environment based on Bayesian network." In Risk, Reliability and Safety: Innovating Theory and Practice. CRC Press, 2016. http://dx.doi.org/10.1201/9781315374987-141.

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Jin, Jianqiang, Kaicheng Li, and Lei Yuan. "A Fuzzy and Bayesian Network CREAM Model for Human Error Probability Quantification of the ATO System." In Lecture Notes in Electrical Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2914-6_53.

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Walrand, Jean. "Speech Recognition: A." In Probability in Electrical Engineering and Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_11.

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AbstractSpeech recognition can be formulated as the problem of guessing a sequence of words that produces a sequence of sounds. The human brain is remarkably good at solving this problem, even though the same words correspond to many different sounds, because of accents or characteristics of the voice. Moreover, the environment is always noisy, to that the listeners hear a corrupted version of the speech.Computers are getting much better at speech recognition and voice command systems are now common for smartphones (Siri), automobiles (GPS, music, and climate control), call centers, and dictat
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Embrey, David. "Approaches to human error probability data collection." In Safety, Reliability and Risk Analysis. CRC Press, 2013. http://dx.doi.org/10.1201/b15938-59.

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Duffey, R. "The Probability and Statistics of Human Error." In International Encyclopedia of Ergonomics and Human Factors, Second Edition - 3 Volume Set. CRC Press, 2006. http://dx.doi.org/10.1201/9780849375477.ch152.

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"The Probability and Statistics of Human Error." In International Encyclopedia of Ergonomics and Human Factors - 3 Volume Set. CRC Press, 2006. http://dx.doi.org/10.1201/9780849375477-162.

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Hammond, Kenneth R. "Duality of Error and Policy Formation." In Human Judgment and Social Policy. Oxford University PressNew York, NY, 1996. http://dx.doi.org/10.1093/oso/9780195097344.003.0003.

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Abstract Grave errors of judgment are brought to our attention as a result of catastrophes immediately linked to wrong decisions. The explosion of the space shuttle Challenger in January 1986 is such a catastrophe; it will stand out for generations not because of a large loss of life but because of its dramatic character—a flaming explosion high in the sky—captured on television and replayed countless times. In addition, it is a clear and compelling example of how a wrong decision—“launch” instead of “don’t launch”—produced a catastrophe. The Challenger disaster clearly was the result of a dec
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Porter, Theodore M. "The Errors of Art and Nature." In The Rise of Statistical Thinking, 1820-1900. Princeton University Press, 2020. http://dx.doi.org/10.23943/princeton/9780691208428.003.0005.

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This chapter analyzes the law of facility of errors. All the early applications of the error law could be understood in terms of a binomial converging to an exponential, as in Abrahan De Moivre's original derivation. All but Joseph Fourier's law of heat, which was never explicitly tied to mathematical probability except by analogy, were compatible with the classical interpretation of probability. Just as probability was a measure of uncertainty, this exponential function governed the chances of error. It was not really an attribute of nature, but only a measure of human ignorance—of the imperf
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Conference papers on the topic "Human Error Probability"

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Alkhalid, Mohammed A. "Asset Integrity Management & Automation." In MPWT 2019. NACE International, 2019. https://doi.org/10.5006/mpwt19-15250.

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Absrract This paper will explore the process of conducting asset integrity management systems and the potential use for the existing facility data to analyze integrity status and predict any breach of integrity that would cause a direct major incident. In the dawn of the 4th industrial revolution and in the age of automation and artificial intelligence, asset integrity management systems are being integrated into a more sophisticated process of verification. Programs are being used to collect necessary risk-based data from inspection, maintenance programs and operational checklists in order to
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Duffey, Romney D., and John W. Saull. "The Probability and Management of Human Error." In 12th International Conference on Nuclear Engineering. ASMEDC, 2004. http://dx.doi.org/10.1115/icone12-49287.

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Embedded within modern technological systems, human error is the largest, and indeed dominant contributor to accident cause. The consequences dominate the risk profiles for nuclear power and for many other technologies. We need to quantify the probability of human error for the system as an integral contribution within the overall system failure, as it is generally not separable or predictable for actual events. We also need to provide a means to manage and effectively reduce the failure (error) rate. The fact that humans learn from their mistakes allows a new determination of the dynamic prob
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Angelopoulou, A., K. Mykoniatis, and N. R. Boyapati. "A simulation model for estimating human error probability." In THE EUROPEAN MODELING AND SIMULATION SYMPOSIUM. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.emss.038.

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Brehm, Eric, Robert Hertle, and Markus Wetzel. "Influence of Human Error on Structural Reliability." In IABSE Workshop, Helsinki 2017: Ignorance, Uncertainty, and Human Errors in Structural Engineering. International Association for Bridge and Structural Engineering (IABSE), 2017. http://dx.doi.org/10.2749/helsinki.2017.024.

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In common structural design, random variables, such as material strength or loads, are represented by fixed numbers defined in design codes. This is also referred to as deterministic design. Addressing the random character of these variables directly, the probabilistic design procedure allows the determination of the probability of exceeding a defined limit state. This probability is referred to as failure probability. From there, the structural reliability, representing the survival probability, can be determined. Structural reliability thus is a property of a structure or structural member,
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Duffey, Romney B., and John W. Saull. "The Human Bathtub: Safety and Risk Predictions Including the Dynamic Probability of Operator Errors." In 14th International Conference on Nuclear Engineering. ASMEDC, 2006. http://dx.doi.org/10.1115/icone14-89476.

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Reactor safety and risk are dominated by the potential and major contribution for human error in the design, operation, control, management, regulation and maintenance of the plant, and hence to all accidents. Given the possibility of accidents and errors, now we need to determine the outcome (error) probability, or the chance of failure. Conventionally, reliability engineering is associated with the failure rate of components, or systems, or mechanisms, not of human beings in and interacting with a technological system. The probability of failure requires a prior knowledge of the total number
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Duffey, Romney B., and Tae Sung Ha. "Human Reliability, Experience and Error Probability: A New Benchmark." In 17th International Conference on Nuclear Engineering. ASMEDC, 2009. http://dx.doi.org/10.1115/icone17-75861.

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In this paper, we apply a totally new approach to benchmark human reliability analysis, which is derived directly from the Universal Learning Curve (ULC) for homo-technological system (HTS) outcomes. We compare the latest second-generation predictions, based on the well-known and proven learning hypothesis, against some of the common Human Reliability Analysis (HRA) methods used to date for analyzing human reliability in transient and accident analysis. Therefore, we provide a straightforward, general and simple methodology for evaluating and predicting the Human Error Probability (HEP) in tra
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DeKett, N. "Potential Improvements in Human Error Probability Seed Optimizer Algorithms." In Transactions - 2020 Virtual Conference. AMNS, 2020. http://dx.doi.org/10.13182/t122-32609.

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DeKett, N. "Potential Improvements in Human Error Probability Seed Optimizer Algorithms." In Transactions - 2020 Virtual Conference. AMNS, 2020. http://dx.doi.org/10.13182/t32609.

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Yang, Zaili, Jin Wang, Merzouki Rochdi, and Ouldbouamama Belkacem. "Bayesian modelling for human error probability analysis in CREAM." In 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE). IEEE, 2011. http://dx.doi.org/10.1109/icqr2mse.2011.5976584.

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Jiang, Yingjie, Zhiqiang Sun, Hongwei Xie, and Erling Gong. "A Human Error Probability Quantification Method Based on SRK Framewok." In 2010 International Conference on Information Management, Innovation Management and Industrial Engineering (ICIII). IEEE, 2010. http://dx.doi.org/10.1109/iciii.2010.186.

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Reports on the topic "Human Error Probability"

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Reece, W. J., B. G. Gilbert, and R. E. Richards. Nuclear Computerized Library for Assessing Reactor Reliability (NUCLARR): Data manual. Part 2: Human error probability (HEP) data; Volume 5, Revision 4. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10188390.

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PEREMANS, Herbert, Glen McLACHLAN, Piotr MAJDAK, and Jonas REIJNIERS. Ideal versus non-ideal observer models for sound localization. Verlag der Österreichischen Akademie der Wissenschaften, 2025. https://doi.org/10.1553/ica_2022_observer-models.

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Previously we derived an information theoretic measure to quantify sound localization performance complementing measures such as angular error and number of front-back confusions. It is based on Bayesian inference to derive the probability sound originates from particular directions given received acoustic input and prior information about possible source locations. In this model, we considered the joint probability of lateral and polar angles of the sound direction using ITD and both left and right monaural spectra as acoustic input. Ideally, all acoustic information is being considered when
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