Title :
HFACS model based data mining of human factors-a marine study
Author :
Xi, Y.T. ; Chen, W.J. ; Fang, Q.G. ; Hu, S.P.
Author_Institution :
Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China
Abstract :
It is well known that human error is the key contributor in most marine accidents. Nevertheless, human error is not the cause of accidents or mishaps in the new view on human errors; it is the deeper trouble of the MMEM (Man-Machine-Environment-Management) system. The key point for human error analysis is to find out the connection between human error and the features of system elements, that is the contexts of human error (Operating environment, Organization influence, etc). For this reason, this paper shows an approach for mining the human factors data which influence the occurrence of human error. This approach bases on the data collected on HFACS (Human Factor Analysis and Classification System) Model. It can be used for analysis of human factors and risk management of marine industry.
Keywords :
data mining; human factors; marine engineering; marine safety; data mining; human error; human factor analysis and classification system; man-machine-environment management system; marine accidents; marine study; Context; Data mining; Human factors; Humans; Marine accidents; Safety; Data mining; HFACS; Human error; Marine accidents;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
DOI :
10.1109/IEEM.2010.5674153
