Identifying training deficiencies in military pilots by applying the human factors analysis and classification system

Date

2013-03-01T00:00:00Z

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Journal Title

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Volume Title

Publisher

Ablex Publishing Corporation

Department

Type

Article

ISSN

1080-3548

Format

Free to read from

Citation

Wen-Chin Li and Don Harris, Identifying training deficiencies in military pilots by applying the human factors analysis and classification system, International Journal of Occupational Safety and Ergonomics, 2013, Volume 19, Issue 1, Pages 3-18.

Abstract

Without accurate analysis, it is difficult to identify training needs and develop the content of training programs required for preventing aviation accidents. The Human Factors Analysis and Classification System (HFACS) is based on Reason’s system-wide model of human error. In this study 523 accidents from the R.O.C. (Republic of China) Air Force were analyzed in which 1,762 human errors were categorized. The results of the analysis showed that errors of judgment and poor decision-making were commonly reported amongst pilots. As a result it was concluded that there was a need for military pilots to be trained specifically in making decisions in tactical environments. However, application of HFACS also allowed the identification of systemic training deficiencies within the organization further contributing to the accidents observed.

Description

Software Description

Software Language

Github

Keywords

Accident Investigation, Error Analysis, Human Error, Human Factors Analysis and Classification System (HFACS), Training Development

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