Article
Ergonomics
Mohammad Reza Taheri, Seyed Bagher Mortazavi, Hasan Asilian, Omran Ahmadi, Fatemeh Sogandi
Summary: This study utilized the cognitive reliability and error analysis method (CREAM) to identify and assess cognitive errors among copper miners. The results showed a high prevalence of human errors in the operational units of the mine, primarily related to execution, observation, interpretation, and planning. Immediate actions are needed to improve safety performance in the mine.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Article
Automation & Control Systems
Hua Shi, Jing-Hui Wang, Ling Zhang, Hu-Chen Liu
Summary: Because human errors are the main cause of accidents in safety-critical industries, human reliability analysis (HRA) is crucial for improving the reliability of complex engineering systems. However, assessing human errors is challenging due to uncertainty in state evaluation information, multiple common performance conditions (CPCs), and their correlations. This paper proposes a new cognitive reliability and error analysis method (CREAM) that integrates linguistic D numbers and the decision-making trial and evaluation laboratory-based analytic network process (DANP) method to quantitatively analyze human errors.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Industrial
Marcantonio Catelani, Lorenzo Ciani, Giulia Guidi, Gabriele Patrizi
Summary: The paper proposes a customized human reliability analysis technique for railway applications, simulating the human error probability during work shifts and considering the impact of eustress and breaks on error probability. The introduction of a simulator allows for the simulation of different error probabilities based on the duration of breaks, with a case study on an Italian Automatic Train Protection System validating the method.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Matthew L. Bolton, Xi Zheng, Eunsuk Kang
Summary: The study introduces a new method that combines formal methods with human reliability analysis, probabilistic and statistical model checking to compute the probability of different outcomes in reactive human-automation interaction systems. The method is demonstrated with an automated teller machine example, and future research directions are discussed.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Industrial
Pablo-Ramses Alonso-Martin, Ignacio Montes, Enrique Miranda
Summary: Human Reliability Analysis aims to address the hazardous consequences caused by human factors. We propose an alternative based on distortion models to quantify the influence of human factors and provide robust estimations.
Article
Health Care Sciences & Services
Aneeta Sylolypavan, Derek Sleeman, Honghan Wu, Malcolm Sim
Summary: In supervised learning model development, annotation inconsistencies commonly occur due to factors such as expert bias and judgments. The implications of these inconsistencies in real-world settings are understudied, especially when applying supervised learning on noisy labeled data. Extensive experiments and analyses on ICU datasets revealed poor agreement in model performance estimates, both internally and externally, indicating significant annotation inconsistencies.
NPJ DIGITAL MEDICINE
(2023)
Article
Engineering, Industrial
Vincent P. Paglioni, Katrina M. Groth
Summary: This paper explores the concept of dependency in human reliability analysis (HRA) and proposes a standardized library of key terms and mathematics to lay the foundation for the development of a dependency framework.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Multidisciplinary Sciences
Vincent Rouanne, Thomas Costecalde, Alim Louis Benabid, Tetiana Aksenova
Summary: This study demonstrates the feasibility of training and updating BCI decoders during free use of motor BCIs by utilizing an auto-adaptive BCI decoder. By using both the control decoder and MTP decoder, training datasets can be formed in real-time, allowing for real-time adaptation of the BCI. Experimental results show the viability of this auto-adaptive BCI, achieving good results in both discrete and continuous output BCI paradigms.
SCIENTIFIC REPORTS
(2022)
Article
Chemistry, Multidisciplinary
Yaniel Torres, Sylvie Nadeau, Kurt Landau
Summary: This study utilized SHERPA and HEART techniques to analyze human reliability in manual assembly operations, identifying error modes and probabilities in critical tasks. The research indicated that perceptually engaging assembly instructions and improving the inspection process have the potential to reduce assembly errors and enhance worker performance.
APPLIED SCIENCES-BASEL
(2021)
Article
Multidisciplinary Sciences
Pawel Kudzia, Erika Jackson, Genevieve Dumas
Summary: The study developed a participant-specific 3D scanning and body segmentation method that estimates body segment parameters without any assumptions about the body's geometry, ethnic background, and gender, which is cost-effective and fast. Comparison with two methods showed consistent estimates of total body volume and mass, indicating accurate and reliable assessments across a range of body segment parameters.
Article
Engineering, Environmental
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi
Summary: Human factors analysis has been explored from various aspects, but conventional techniques are incapable of addressing the challenges posed by emerging sociotechnical systems and AI-driven systems. This work reviewed the integration of artificial intelligence and expert systems into HFA, specifically focusing on machine learning, deep learning, and knowledge/data-driven modeling approaches. The study investigated the applications, contributions, challenges, and research gaps of HFA in complex systems, highlighting important concerns and the need for advanced approaches.
PROCESS SAFETY AND ENVIRONMENTAL PROTECTION
(2023)
Article
Multidisciplinary Sciences
Hwangyu Lee, Jung Min Cho, Susie Ryu, Seungmin Ryu, Euijune Chang, Young-Soo Jung, Jun-Young Kim
Summary: This study proposes a fully automatic posteroanterior cephalometric landmark identification model using deep learning algorithms and compares its accuracy and reliability with expert human examiners. The model performs comparably to the examiners, showing promising accuracy and reliability. It can assist clinicians in performing cephalometric analysis more efficiently.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Information Systems
Yohan Ko
Summary: The reliability of modern embedded systems against soft errors should be carefully considered from early design phases, protection techniques need to be applied quantitatively, and vulnerability modeling based on lifetime analysis is a useful method. However, lifetime analysis can be inaccurate due to the failure to comprehensively capture system-level masking effects.
Article
Engineering, Industrial
Esmaeil Zarei, Faisal Khan, Rouzbeh Abbassi
Summary: This study systematically examines the needs, gaps, and challenges of Human Reliability Analysis (HRA) in the chemical process industries (CPIs). By analyzing human factors in maintenance operations, emergency operations, and control room operations, the study sheds light on the strengths and shortcomings of current literature and identifies research opportunities. A comparison with nuclear power plants (NPPs) is made to better understand the current stage of research and research challenges and opportunities.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Engineering, Multidisciplinary
Yujun Su, Xianghao Gao, Hong Qian, Xiaoyan Su
Summary: This paper proposes a new model to handle uncertain information in HCR, aiming to improve the accuracy and applicability of HCR by constructing an evaluation panel and using the DSET theory.
CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES
(2022)
Article
Engineering, Industrial
Itay Coifman, Rodger Kram, Raziel Riemer
Summary: This study aimed to quantify the metabolic cost of running with additional leg mass. The results showed that for every 1000 g of added mass per leg, gross metabolic power increased by approximately 16% (foot) and 11% (shank) for females, which was slightly greater than the 11% and 8% increases for males, respectively. For thigh loading, metabolic power only increased by 4% per 1000 g in both sexes.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Itay Coifman, Rodger Kram, Raziel Riemer
Summary: The study analyzed the biomechanical response to running with added leg mass, finding that joint moments and powers were dramatically affected, particularly during the swing phase. However, kinematic changes were only moderate. These findings have implications for shoe designs, individuals using added leg mass for running or strength training, and the design of wearable devices.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Wenxiu Yang, Tingshu Chen, Renke He, Richard Goossens, Toon Huysmans
Summary: This study collected autonomic response data (heart rate and skin conductance) from 30 landmarks in the head, neck, and face of 31 participants experiencing pressure discomfort and pain. The results showed that pressure stimulation can change heart rate and skin conductance, with skin conductance being more useful in assessing pressure discomfort and possessing a faster arousal rate. There were gender differences in subjective pressure thresholds and autonomic responses, but no linear correlation between them. This study has significant implications for resolving ergonomic issues associated with head-related products.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Kai Huang, Guozhu Jia, Qun Wang, Yingjie Cai, Zhenyu Zhong, Zeyu Jiao
Summary: In the era of Industry 5.0, human-centered smart manufacturing (HSM) has emphasized the role of humans in collaboration with machines. This study proposes a method that combines deep learning-based 3D pose reconstruction with rapid entire body assessment (REBA) to assess the risk of work-related musculoskeletal disorders (WMSDs) in HSM. The proposed method improves the accuracy of risk assessment by introducing weights between different risk levels, leading to a precision rate of 99.31% in experiments conducted on an automobile production line.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Jan Healey, Sue Hignett, Diane Gyi
Summary: This study explores the delivery of home care in England and examines the barriers that impact worker performance and whether these barriers affect the quality and safety of care. The findings highlight the importance of an Human Factors and Ergonomics (HFE) systems perspective in understanding and improving home care.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Jule Bessler-Etten, Leendert Schaake, Jaap H. Buurke, Gerdienke B. Prange-Lasonder
Summary: This article investigates the development of discomfort caused by repetitive and prolonged forces exerted through a rigid cuff. The study found that repetitive force application triggers discomfort but generally does not result in pain and there are no significant differences between different repetitive loading patterns. The design and use of exoskeletons should consider comfort thresholds specific to prolonged repetitive loading.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
S. Thuillard, L. Audergon, T. Kotalova, A. Sonderegger, J. Sauer
Summary: This study compared the effects of human-induced and machine-induced social stress on task performance and subjective state. The results showed that social stress did not directly affect performance, affect, or self-esteem, but human-induced social stress impaired perceived justice.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Stephen Dooley, Sunwook Kim, Maury A. Nussbaum, Michael L. Madigan
Summary: The purpose of this study was to investigate the effects of arm- and back-support exoskeletons on reactive balance after slip-like and trip-like perturbations on a treadmill. The study found that the exoskeletons did not significantly increase the probability of failed recovery after the perturbations, but did make balance recovery more challenging. Reactive balance differed when wearing different types and activation states of exoskeletons.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Eirini Balta, Andreas Psarrakis, Argiro Vatakis
Summary: Research has shown that mental workload modulates time perception, making timing behavior a reliable index of cognitive demand. This study tested the timing behavior of air traffic controllers in a real aviation environment under different levels of cognitive load. Results showed significant overestimation of time intervals during the high-load landing phase and greater overestimation when landing two helicopters compared to one.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Kremer Lisanne, Gehrmann Jonathan, Rohrig Rainer, Breil Bernhard
Summary: This study aims to investigate whether eye movement measures are suitable for measuring mental workload in healthcare settings. The results indicate significant differences in both objective and subjective workload measures across different task levels. Additionally, there are indications of overload and fatigue in pupil data.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
John Kang, Stephanie C. Payne, Farzan Sasangohar, Ranjana K. Mehta
Summary: This exploratory longitudinal field study aimed to examine the changes in subjective, performance-based, and physiological fatigue measures over time across different shift types in offshore environments. The findings revealed that workers' performances on the psychomotor vigilance test deteriorated over time across all shift types. The study also found correlations between different multimodal fatigue measures.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Hayoung Jung, Wonsup Lee, Sujin Moon, Heecheon You
Summary: This study measured 12 palmar dimensions to analyze the impact of wrist posture on hand size changes during power grip. The findings showed that hand dimensions decreased significantly during grip, with wrist posture and finger position also exerting significant effects on hand size.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Ido Morag, Avi Parush
Summary: This study indicates that there is a relationship between gender and wayfinding performance, and verbal instructions can influence this relationship. Male participants perform better in terms of accuracy and speed in wayfinding, while females rely more on specific routes. Additionally, applying survey knowledge to females may improve their indoor wayfinding ability.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
Junfeng Ma, Yu Wang, Sayali Joshi, Haifeng Wang, Carlton Young, Adam Pervez, Yingge Qu, Shey Washburn
Summary: The U.S. is facing a national nurse shortage, and the application of immersive Virtual Reality technology in nursing education is not fully understood. This study explored the effectiveness and efficacy of immersive Virtual Reality nursing education through a comparative pilot study, and the results showed that the method performed well in terms of effectiveness and efficacy.
APPLIED ERGONOMICS
(2024)
Article
Engineering, Industrial
N. Zhang, M. Fard, J. Xu, J. L. Davy, S. R. Robinson
Summary: Driver drowsiness is a significant factor in serious motor vehicle accidents. This study found that specific frequencies of whole-body vibration can induce driver drowsiness and impair attention and driving performance. These findings provide evidence for establishing transportation safety standards.
APPLIED ERGONOMICS
(2024)