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Yusuf, AB, Kor, A-L and Tawfik, H (2022) Integrating the HFACS Framework and Fuzzy Cognitive Mapping for In-Flight Startle Causality Analysis. Sensors, 22 (3).
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Integrating the HFACS Framework and Fuzzy Cognitive Mapping for In Flight Startle Causality Analysis.pdf - Published Version Available under License Creative Commons Attribution. Download (3MB) | Preview |
Abstract
This paper discusses the challenge of modeling in-flight startle causality as a precursor to enabling the development of suitable mitigating flight training paradigms. The article presents an overview of aviation human factors and their depiction in fuzzy cognitive maps (FCMs), based on the Human Factors Analysis and Classification System (HFACS) framework. The approach exemplifies system modeling with agents (causal factors), which showcase the problem space's characteristics as fuzzy cognitive map elements (concepts). The FCM prototype enables four essential functions: explanatory, predictive, reflective, and strategic. This utility of fuzzy cognitive maps is due to their flexibility, objective representation, and effectiveness at capturing a broad understanding of a highly dynamic construct. Such dynamism is true of in-flight startle causality. On the other hand, FCMs can help to highlight potential distortions and limitations of use case representation to enhance future flight training paradigms.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Humans; Factor Analysis, Statistical; Cognition; Fuzzy Logic; flight safety; flight simulation; fuzzy cognitive maps; human factors; loss of control; situation awareness; startle; training; Cognition; Factor Analysis, Statistical; Fuzzy Logic; Humans; Cognition; Factor Analysis, Statistical; Fuzzy Logic; Humans; 0301 Analytical Chemistry; 0502 Environmental Science and Management; 0602 Ecology; 0805 Distributed Computing; 0906 Electrical and Electronic Engineering; Analytical Chemistry |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TA Engineering (General). Civil engineering (General) T Technology > TL Motor vehicles. Aeronautics. Astronautics |
| Divisions: | Computer Science and Mathematics |
| Publisher: | MDPI |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 19 Dec 2024 12:37 |
| Last Modified: | 19 Dec 2024 12:45 |
| DOI or ID number: | 10.3390/s22031068 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/25130 |
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