Early warning method of unsafe behavior accidents for offshore drilling operators based on eye-tracking trajectory

[1]  Susanne P. Lajoie,et al.  Using eye tracking to examine expert-novice differences during simulated surgical training: A case study , 2023, Comput. Hum. Behav..

[2]  W. Zhang,et al.  Dynamic risk assessment of deepwater drilling using data-based and probabilistic approach , 2023, Ocean Engineering.

[3]  Jing Chen,et al.  Eye tracking metrics of orthopedic surgeons with different competency levels who practice simulation-based hip arthroscopic procedures , 2022, Heliyon.

[4]  M. Hatefi,et al.  Risk Assessment of Oil and Gas Drilling Operation: An Empirical Case using a Hybrid GROC-VIMUN-Modified FMEA Method , 2022, Process Safety and Environmental Protection.

[5]  Özkan Uğurlu,et al.  Assessment of human error contribution to maritime pilot transfer operation under HFACS-PV and SLIM approach , 2022, Ocean Engineering.

[6]  Wei Zhou,et al.  A co-evolutionary lane-changing trajectory planning method for automated vehicles based on the instantaneous risk identification. , 2022, Accident; analysis and prevention.

[7]  B. Cai,et al.  A dynamic quantitative risk assessment method for drilling well control by integrating multi types of risk factors , 2022, Process Safety and Environmental Protection.

[8]  Lin Zhang,et al.  Research on visual comfort of color environment based on the eye-tracking method in subway space , 2022, Journal of Building Engineering.

[9]  Ou Stella Liang,et al.  Mental health conditions and unsafe driving behaviors: A naturalistic driving study on ADHD and depression. , 2022, Journal of safety research.

[10]  Tommaso Di Noto,et al.  Machine learning algorithms on eye tracking trajectories to classify patients with spatial neglect , 2022, Comput. Methods Programs Biomed..

[11]  R. Kurt,et al.  Application of a SPAR-H based framework to assess human reliability during emergency response drill for man overboard on ships , 2022, Ocean Engineering.

[12]  R. Dekeyser,et al.  Incidental learning of semantically transparent and opaque Chinese compounds from reading: An eye-tracking approach , 2022, System.

[13]  R. Rapee,et al.  Eye-tracking to assess anxiety-related attentional biases among a large sample of preadolescent children. , 2022, Behaviour research and therapy.

[14]  Junliang Yuan,et al.  Progress and prospect of CNOOC's oil and gas well drilling and completion technologies , 2022, Natural Gas Industry B.

[15]  Ruipeng Tong,et al.  A dual perspective on work stress and its effect on unsafe behaviors: The mediating role of fatigue and the moderating role of safety climate , 2022, Process Safety and Environmental Protection.

[16]  Zhou Bo,et al.  Deep and ultra-deep oil and gas well drilling technologies: Progress and prospect , 2022, Natural Gas Industry B.

[17]  Yongjin Zhou,et al.  An eye tracker based on webcam and its preliminary application evaluation in Chinese reading tests , 2022, Biomed. Signal Process. Control..

[18]  A. Alroomi,et al.  Does fatigue mediate the relation between physical isolation and safety behaviour among isolated oil and gas workers? , 2022, Safety Science.

[19]  Mohd Umair Iqbal,et al.  HMM-based models of control room operator's cognition during process abnormalities. 1. Formalism and model identification , 2022, Journal of Loss Prevention in the Process Industries.

[20]  Mohd Umair Iqbal,et al.  HMM-based models of control room operator's cognition during process abnormalities. 2. Application to operator training , 2022, Journal of Loss Prevention in the Process Industries.

[21]  M. Jaber,et al.  Predicting human reliability based on probabilistic mission completion time using Bayesian Network , 2022, Reliab. Eng. Syst. Saf..

[22]  Liyin Shen,et al.  Unveiling the mechanism of construction workers’ unsafe behaviors from an occupational stress perspective: A qualitative and quantitative examination of a stress–cognition–safety model , 2022, Safety Science.

[23]  Olga Vl. Bitkina,et al.  The ability of eye-tracking metrics to classify and predict the perceived driving workload , 2021, International Journal of Industrial Ergonomics.

[24]  Zijun Huang,et al.  Risk-taking behavior of drilling workers: A study based on the structural equation model , 2021, International Journal of Industrial Ergonomics.

[25]  Mohd Umair Iqbal,et al.  Metrics for Objectively Assessing Operator Training using Eye gaze Patterns , 2021, Process Safety and Environmental Protection.

[26]  Brian Young,et al.  Levenshtein distance as a measure of accuracy and precision in forensic PCR-MPS methods. , 2021, Forensic science international. Genetics.

[27]  Youness Chaabi,et al.  Amazigh spell checker using Damerau-Levenshtein algorithm and N-gram , 2021, J. King Saud Univ. Comput. Inf. Sci..

[28]  Faisal Khan,et al.  Operational risk analysis of blowout scenario in offshore drilling operation , 2021 .

[29]  Parikshit Dutta,et al.  Uncertainty quantification and reduction in aircraft trajectory prediction using Bayesian-Entropy information fusion , 2021, Reliab. Eng. Syst. Saf..

[30]  Ling Rothrock,et al.  Potential benefits of eye tracking within process control monitoring tasks , 2021, Human Factors and Ergonomics in Manufacturing & Service Industries.

[31]  Tao Zhang,et al.  A realtime drilling risks monitoring method integrating wellbore hydraulics model and streaming-data-driven model parameter inversion algorithm , 2020 .

[32]  V. R. Renjith,et al.  Application of dynamic risk analysis in offshore drilling processes , 2020 .

[33]  Junade Ali,et al.  Analysis and safety engineering of fuzzy string matching algorithms. , 2020, ISA transactions.

[34]  Rouzbeh Abbassi,et al.  Human reliability assessment for complex physical operations in harsh operating conditions , 2020 .

[35]  Catalin Teodoriu,et al.  Simulation-based training to enhance process safety in offshore energy operations: Process tracing through eye-tracking , 2020 .

[36]  Rune Storesund,et al.  An integrated offshore oil spill response decision making approach by human factor analysis and fuzzy preference evaluation. , 2020, Environmental pollution.

[37]  Giovanni C. Migliaccio,et al.  Workforce development: understanding task-level job demands-resources, burnout, and performance in unskilled construction workers , 2020, Safety Science.

[38]  Tao Song,et al.  A deep model method for recognizing activities of workers on offshore drilling platform by multistage convolutional pose machine , 2020 .

[39]  E. Chung,et al.  A novel approach for the structural comparison of origin-destination matrices: Levenshtein distance , 2020 .

[40]  Catalin Teodoriu,et al.  Situational awareness measurement in a simulation-based training framework for offshore well control operations , 2019, Journal of Loss Prevention in the Process Industries.

[41]  Hong Fu,et al.  Evaluating the impact of mental fatigue on construction equipment operators' ability to detect hazards using wearable eye-tracking technology , 2019, Automation in Construction.

[42]  Nicolas Saunier,et al.  Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data , 2019, Transportation Research Part C: Emerging Technologies.

[43]  Laura Cercenelli,et al.  Gaze Trajectory Index (GTI): A novel metric to quantify saccade trajectory deviation using eye tracking , 2019, Comput. Biol. Medicine.

[44]  Wang Huiqin,et al.  Method for pigment spectral matching identification based on adaptive levenshtein distance , 2019, Optik.

[45]  Bernard De Baets,et al.  A method based on the Levenshtein distance metric for the comparison of multiple movement patterns described by matrix sequences of different length , 2019, Expert Syst. Appl..

[46]  Rajagopalan Srinivasan,et al.  Toward Preventing Accidents in Process Industries by Inferring the Cognitive State of Control Room Operators through Eye Tracking , 2018 .

[47]  Babji Srinivasan,et al.  Quantifying situation awareness of control room operators using eye-gaze behavior , 2017, Comput. Chem. Eng..

[48]  Mary Ann Lundteigen,et al.  On the role of HMI in human reliability analysis of offshore drilling operations , 2017 .

[49]  Faisal Khan,et al.  Human Error Probability Assessment During Maintenance Activities of Marine Systems , 2017, Safety and health at work.

[50]  Reza Maknoon,et al.  Identification of strategies to reduce accidents and losses in drilling industry by comprehensive HSE risk assessment—A case study in Iranian drilling industry , 2016 .

[51]  Mary Ann Lundteigen,et al.  Human factors modelling in offshore drilling operations , 2016 .

[52]  Mary Ann Lundteigen,et al.  A DBN-Based Risk Assessment Model for Prediction and Diagnosis of Offshore Drilling Incidents , 2016, Bayesian Networks in Fault Diagnosis.

[53]  Rajagopalan Srinivasan,et al.  Eye gaze movement studies of control room operators: A novel approach to improve process safety , 2016, Comput. Chem. Eng..

[54]  Vikram Garaniya,et al.  Risk analysis of deepwater drilling operations using Bayesian network , 2015 .

[55]  Vikram Garaniya,et al.  An integrated method for human error probability assessment during the maintenance of offshore facilities , 2015 .

[56]  Paul Amyotte,et al.  Determination of human error probabilities in maintenance procedures of a pump , 2014 .

[57]  Kathryn Mearns,et al.  Stress, Fatigue, Situation Awareness and Safety in Offshore Drilling Crews , 2013 .

[58]  José Lisandro Aguilar Castro,et al.  An implementation of a distributed artificial intelligence architecture to the integrated production management , 2011 .

[59]  Russell A. Ogle,et al.  The relationship between automation complexity and operator error. , 2008, Journal of hazardous materials.

[60]  Faisal Khan,et al.  Determination of human error probabilities for offshore platform musters , 2005 .

[61]  Fred J. Damerau,et al.  A technique for computer detection and correction of spelling errors , 1964, CACM.

[62]  Heng Li,et al.  Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology , 2020, Automation in Construction.

[63]  Rabiul Islam,et al.  Development of a monograph for human error likelihood assessment in marine operations , 2017 .

[64]  Byeon Young-Soon,et al.  Reliability and Validity Tests for the Fatigue Assessment Instrument(FAI). , 2004 .