The University of Southampton
University of Southampton Institutional Repository

Validating task analysis for error identification: reliability and validity of a human error prediction technique

Validating task analysis for error identification: reliability and validity of a human error prediction technique
Validating task analysis for error identification: reliability and validity of a human error prediction technique
This paper reports on the theoretical and empirical developments for an error prediction methodology called task analysis for error identification (TAFEI). Other researchers have noted the need for theoretically driven approaches that are able to provide practical utility in error prediction. Theoretical developments include the concept of 'rewritable routines', which describe the loop between cognitive processing, action and devices states. This has been proposed as a way of unifying ideas from systems theory and cognitive psychology. The empirical research shows that TAFEI is superior to heuristic methods, which supports the idea that structured methods assist in error prediction. The validation study shows that TAFEI reaches acceptable levels in terms of test - retest reliability and concurrent validity. It is believed that the method has reached a level of maturity after 10 years of development work. This is demonstrated by the many uses to which the method has been put, including that of a design tool.
human error, methodology, reliability, validity, sensitivity
1366-5847
1097-1113
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Baber, Christopher
4ee925b7-aca3-4dd6-b930-23ddcd47400e
Stanton, Neville A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Baber, Christopher
4ee925b7-aca3-4dd6-b930-23ddcd47400e

Stanton, Neville A. and Baber, Christopher (2005) Validating task analysis for error identification: reliability and validity of a human error prediction technique. Ergonomics, 48 (9), 1097-1113. (doi:10.1080/00140130500219726).

Record type: Article

Abstract

This paper reports on the theoretical and empirical developments for an error prediction methodology called task analysis for error identification (TAFEI). Other researchers have noted the need for theoretically driven approaches that are able to provide practical utility in error prediction. Theoretical developments include the concept of 'rewritable routines', which describe the loop between cognitive processing, action and devices states. This has been proposed as a way of unifying ideas from systems theory and cognitive psychology. The empirical research shows that TAFEI is superior to heuristic methods, which supports the idea that structured methods assist in error prediction. The validation study shows that TAFEI reaches acceptable levels in terms of test - retest reliability and concurrent validity. It is believed that the method has reached a level of maturity after 10 years of development work. This is demonstrated by the many uses to which the method has been put, including that of a design tool.

This record has no associated files available for download.

More information

Published date: 15 July 2005
Keywords: human error, methodology, reliability, validity, sensitivity

Identifiers

Local EPrints ID: 73916
URI: http://eprints.soton.ac.uk/id/eprint/73916
ISSN: 1366-5847
PURE UUID: 3aeadeb7-e5cb-4a94-9be0-5eeaa74500b9
ORCID for Neville A. Stanton: ORCID iD orcid.org/0000-0002-8562-3279

Catalogue record

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

Export record

Altmetrics

Contributors

Author: Christopher Baber

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×