ENHANCing Human Performance in Complex Socio-Technical SystEms

Risultati finali

A final list of key indicators arrived at using methods such as Bayesian network analysis and evidential reasoning.

A risk matrix will be created for the work tasks which give the highest improvement in system performance.

The novel Human Reliability Analysis (HRA) developed will be assessed and validated in WP3. The procedure will be documented and shared with academic community in form of scientific publications in peer reviewed journals.

Coinciding operations between process and maritime industries

Cross disciplinary nature of the project requires that initially the commonalities between the two domains namely process and maritime is identified by information exchange between the participating researchers and review of published literature

List of indicators (system level, operational level, and safety)

Further synthesis of ideas a detailed list of system and performance indicators will be derived

Maritime and process operations task analysis

The key processes identified in both domains then need to be further investigated through detailed interview and task decomposition by task analysis technique

Current training practices report for submission to a scientific journal

The identified training practices will be documented and reported to the academic community through scientific articles.

Overview of PIs to be used in the proposed training scenarios

Overview of performance indicators which will be used for evaluating human performance in each of the training scenarios will be defined.

ENHANCE project website

Official project website launched initially containing information about the project and consortium The website will contain a public area and area for consortium members

Pubblicazioni

An automated machine learning approach for early identification of at-risk maritime students

Autori: Hasan Mahbub Tusher, Ziaul Haque Munim, Sajid Hussain, Salman Nazir
Pubblicato in: AHFE International, Training, Education, and Learning Sciences, 2023
Editore: AHFE International
DOI: 10.54941/ahfe1003150

Situation Awareness in Crisis Management – A Case Study from the Arctic Region

Autori: James Badu, Rune Elvegard, Salman Nazir, Natalia Andreassen
Pubblicato in: AHFE International, Training, Education, and Learning Sciences, 2024
Editore: AHFE International
DOI: 10.54941/ahfe1005395

Efficient Extreme Learning Machine (ELM) Based Algorithm for Electrocardiogram (ECG) Heartbeat Classification

Autori: Khalil, K. et al
Pubblicato in: Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201., 2021, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.1007/978-3-030-51041-1_41

An Empirical Study on Organizational Socialization and Its Relationship with Employees’ Age and the Knowledge Management.

Autori: Khalil, K. et al.
Pubblicato in: Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201, 2021, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.1007/978-3-030-51041-1_47

Letting losses be lessons: Human-machine cooperation in maritime transport

Autori: Shiqi Fan, Kun Shi, Jinxian Weng, Zaili Yang
Pubblicato in: Reliability Engineering & System Safety, Numero 253, 2024, Pagina/e 110547, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2024.110547

Investigation of EEG Correlate in NIRS Signal for BCI

Autori: Johar, A.H. et al
Pubblicato in: Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201, 2021, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.1007/978-3-030-51041-1_42

Novel fNIRS study on homogeneous symmetric feature-based transfer learning for brain–computer interface

Autori: Khalil, K., Asgher, U., Ayaz, Y
Pubblicato in: Sci Rep 12, 3198, 2022, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.1038/s41598-022-06805-4

Offshore coxswain competency evaluation model for internal on-board competency monitoring and assessment,

Autori: Wen Khai Lim, Risza Rusli, Salman Nazir,
Pubblicato in: Process Safety Progress (2022; Vol.42, Numero S1), 2021, ISSN 1066-8527
Editore: John Wiley & Sons Inc.
DOI: 10.1002/prs.12355

Analysis of safety climate effect on individual safety consciousness creation and safety behaviour improvement in shipping operations

Autori: Shenping Hu, Zaili Yang, Shanshan Fu, Jinxian Weng
Pubblicato in: Maritime Policy & Management, 2022, ISSN 0308-8839
Editore: Taylor & Francis
DOI: 10.1080/03088839.2022.2059718

A Chain-Driven Live Roller Mechanism for Loading and Unloading Packages on Autonomous Mobile Robots in Warehouses.

Autori: Ammar, M., Ahmed, M., Younas, M., Qayyum, K., Khawaja, F., Asgher, U., Ali, S., Ayaz, Y
Pubblicato in: Industrial Cognitive Ergonomics and Engineering Psychology, 2022, ISSN 2771-0718
Editore: AHFE International
DOI: 10.54941/ahfe1001600

Novel Approach for Sensing the Humanoid Hand Finger Position Using Non-contact TMR Sensor.

Autori: Iqbal, S., Khan, S., Sajid, M., Ali, S., Khawaja, F., Asgher, U., Ayaz, Y.
Pubblicato in: Industrial Cognitive Ergonomics and Engineering Psychology, 2022, ISSN 2771-0718
Editore: AHFE International
DOI: 10.54941/ahfe1001599

Feature Based Comparative Analysis of Online Malware Scanners (OMS).

Autori: Johar, A.H., Gerard, A., Athar, N., Asgher, U
Pubblicato in: Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201, 2021, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.1007/978-3-030-51041-1_51

Enhanced Accuracy for Multiclass Mental Workload Detection Using Long Short-Term Memory for Brain–Computer Interface

Autori: Asgher U, Khalil K, Khan MJ, Ahmad R, Butt SI, Ayaz Y, Naseer N and Nazir S
Pubblicato in: Frontiers in Neuroscience, 2020, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.3389/fnins.2020.00584

The Role of the Prefrontal Cortex & Functional Connectivity during Watchkeeping and Collision Avoidance during Maritime Operations: An fNIRS study

Autori: Shiqi Fan, Eduardo Blanco‐Davis, Jinfen Zhang, Alan Bury, Jonathan Warren, Zaili Yang, Xinping Yan, Jin Wang, Stephen Fairclough
Pubblicato in: Brain and Behaviour, 2020, ISSN 2162-3279
Editore: Wiley-Blackwell
DOI: 10.1002/brb3.1910

Exploring the effects of automation malfunction on team communication and coordination in ships' engine rooms

Autori: Hasan Mahbub Tusher, Salman Nazir, Steven Mallam, Zaili Yang, Umer Asgher, Risza Rusli
Pubblicato in: Process Safety Progress, Numero 43, 2024, ISSN 1066-8527
Editore: John Wiley & Sons Inc.
DOI: 10.1002/prs.12571

Use of evidential reasoning for eliciting bayesian subjective probabilities in human reliability analysis: A maritime case

Autori: Zaili Yang, Khalifa Mohamed Abujaafar, Zhuohua Qu, Jin Wang, Salman Nazir, Chengpeng Wan
Pubblicato in: Ocean Engineering, Numero 186, 2019, Pagina/e 106095, ISSN 0029-8018
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.oceaneng.2019.05.077

Towards objective human performance measurement for maritime safety: A new psychophysiological data-driven machine learning method

Autori: Shiqi Fan, Zaili Yang
Pubblicato in: Reliability Engineering & System Safety, Numero 233, 2024, Pagina/e 109103, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2023.109103

Seeking the Best Practices of Assessment in Maritime Simulator Training

Autori: Hasan Mahbub Tusher, Salman Nazir, Samrat Ghosh, Risza Rusli
Pubblicato in: TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Numero 17, 2023, Pagina/e 105-114, ISSN 2083-6473
Editore: International Journal on Marine Navigation and Safetyof Sea Transportation
DOI: 10.12716/1001.17.01.10

Seafarer competency analysis: Data-driven model in restricted waters using Bayesian networks

Autori: Kun Shi, Shiqi Fan, Jinxian Weng, Zaili Yang
Pubblicato in: Ocean Engineering, Numero 311, 2024, Pagina/e 119001, ISSN 0029-8018
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.oceaneng.2024.119001

Analysing seafarer competencies in a dynamic human-machine system

Autori: Shiqi Fan, Zaili Yang
Pubblicato in: Ocean & Coastal Management, Numero 240, 2024, Pagina/e 106662, ISSN 0964-5691
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.ocecoaman.2023.106662

Accident data-driven human fatigue analysis in maritime transport using machine learning

Autori: Shiqi Fan, Zaili Yang
Pubblicato in: Reliability Engineering & System Safety, Numero 241, 2024, Pagina/e 109675, ISSN 0951-8320
Editore: Elsevier BV
DOI: 10.1016/j.ress.2023.109675

Towards advanced decision-making support for shipping safety: A functional connectivity analysis

Autori: Shiqi Fan, Stephen Fairclough, Abdul Khalique, Alan Bury, Zaili Yang
Pubblicato in: Transportation Research Part E: Logistics and Transportation Review, Numero 193, 2024, Pagina/e 103861, ISSN 1366-5545
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.tre.2024.103861

Learning from accidents: Nontechnical skills deficiency in the European process industry,

Autori: Hasan Mahbub Tusher, Salman Nazir, Steven Mallam, Risza Rusli, Anne Kari Botnmark,
Pubblicato in: Process Safety Progress (2022; Vol.42, Numero S1), 2021, ISSN 1066-8527
Editore: John Wiley & Sons Inc.
DOI: 10.1002/prs.12344

Organizational Socialization: An Important Factor for Knowledge Creation in Knowledge Based Industrial Organizations and Enterprises

Autori: Khalil, K. et al.
Pubblicato in: Advances in Neuroergonomics and Cognitive Engineering. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1201, 2021, ISSN 0967-0912
Editore: Institute of Materials
DOI: 10.1007/978-3-030-51041-1_59

A multi-source physiological data-driven method for evaluating the mental workload of operators in remote control environment

Autori: Zhihong Li, Di Zhang, Wenchen Lyu, Salman Nazir, Zhe Mao, Chengpeng Wan
Pubblicato in: Safety Science, Numero 187, 2025, Pagina/e 106864, ISSN 0925-7535
Editore: Elsevier BV
DOI: 10.1016/j.ssci.2025.106864

Grid‐based assessment of hydrogen leakages for an offshore process to improve the design and human performance

Autori: Asher Ahmed Malik, Risza Rusli, Salman Nazir, Rizal Harris Wong, Ushtar Arshad
Pubblicato in: Process Safety Progress, Numero 43, 2024, ISSN 1066-8527
Editore: John Wiley & Sons Inc.
DOI: 10.1002/prs.12567

Situational Awareness and Decision-Making in Maritime Operations: A Cognitive Perspective

Autori: Markus Hansen, Salman Nazir
Pubblicato in: Lecture Notes in Computer Science, Engineering Psychology and Cognitive Ergonomics, 2024, Pagina/e 165-189
Editore: Springer Nature Switzerland
DOI: 10.1007/978-3-031-60728-8_14

Risultati finali

Pubblicazioni

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