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Abstract

An existing system for human error analysis and classification is discussed. The lack of a comprehensive model of human error for this system decreases the quality of human error investigation and, as a result, the quality of recommendations that addressed safety-related deficiencies. The model suggested in the present paper is based on theory of frames, modal logic and psychological experiments and permitted the construction of meaningful description for error-provocative situation. The database for such situations gives the opportunity to find the most frequent causes, and therefore to mitigate the deficiencies. On the basis of the described model, the new decision support system for analysis and classification of error is proposed. This system provides both the data collecting for human error investigation and analyzing the most frequent causes through the database. The suggested system demonstrated a higher performance level than the existing classification system in analyzing the most frequent causes of error, and could enhance either accident investigating or incident reporting systems in aviation.

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References

Kotik

Yemelyanov

(1985). Human-operator errors: psychological causes and method of computer- aided analysis. Tallinn: Valgus Publishers.

Kotik

Yemelyanov

(1992). Emotions as an indicator for subjective preferences in decision-making (express decision support method). Psikhologicheskiy Jurnal (Psychological Journal, Russian Academy of Sciences), V 13, N 1, pp. 118–125.

Kotik

Yemelyanov

(1998). Origin of human-operator errors. Moscow: Transport Publishers.

Miller

Swain

(1986). Human error and human reliability. In Salvendy

Handbook of Human Factors, pp. 219–252. NY: John Wiley.

Minsky

(1975). A framework for representing knowledge. In Winston

The Psychology of Computer Vision, pp. 211–277. NY: McGraw-Hill.

O'Hara

(2000). The “wheel of misfortune”: A taxonomic approach to human factors in accident investigation and analysis in aviation and other complex systems. Ergonomics, 43, pp. 2001–2019.

Shappell

Wiegmann

(2001). Applying Reason: The Human Factors Analysis and Classification System (HFACS). Human Factors and Aerospace Safety, 1, pp. 59–86.

Yemelyanov

(2002) “An automatized method for human-operator error analysis”. In Proceedings of the Human Factors and Ergonomics Society 46th Annual Meeting, Baltimore, MD, September 30– October 4, 2002, pp. 1935–1938.

How to Improve Error Analysis and Classification System

Abstract

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