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A systems approach to human error identification

A systems approach to human error identification
A systems approach to human error identification
Human error has been the subject of much debate over the past two decades. Alongside this debate, a number of methods have been developed to predict human error. In this paper a systems approach to the topic is proposed. A methodology based upon the approach has been developed and is reported. The methodology is illustrated by way of a case study. Future directions are indicated.
0925-7535
215-228
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Baber, Chris
f1a837ac-3e9c-4e55-8eb9-8d393f07c964
Stanton, Neville
351a44ab-09a0-422a-a738-01df1fe0fadd
Baber, Chris
f1a837ac-3e9c-4e55-8eb9-8d393f07c964

Stanton, Neville and Baber, Chris (1996) A systems approach to human error identification. Safety Science, 22 (1-3), 215-228. (doi:10.1016/0925-7535(96)00016-1).

Record type: Article

Abstract

Human error has been the subject of much debate over the past two decades. Alongside this debate, a number of methods have been developed to predict human error. In this paper a systems approach to the topic is proposed. A methodology based upon the approach has been developed and is reported. The methodology is illustrated by way of a case study. Future directions are indicated.

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Published date: February 1996

Identifiers

Local EPrints ID: 74174
URI: http://eprints.soton.ac.uk/id/eprint/74174
DOI: doi:10.1016/0925-7535(96)00016-1
ISSN: 0925-7535
PURE UUID: fbb11006-301b-4205-84b8-76b4a106c34f
ORCID for Neville Stanton: ORCID iD orcid.org/0000-0002-8562-3279

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Date deposited: 11 Mar 2010
Last modified: 14 Mar 2024 02:54

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Contributors

Author: Neville Stanton ORCID iD
Author: Chris Baber

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