The University of Southampton
University of Southampton Institutional Repository

Human error identification techniques applied to public technology: predictions compared with observed use

Human error identification techniques applied to public technology: predictions compared with observed use
Human error identification techniques applied to public technology: predictions compared with observed use
In this paper, we consider the use of human error identification (HEI) techniques as a possible alternative to observation studies for product evaluation. The HEI techniques used were Task Analysis for Error Identification (TAFEI) and Predictive Human Error Analysis (PHEA). The comparison was undertaken in connection with the prediction of errors in the use of a ticket vending machine. Two main findings emerged from the study. First, predictions derived from the HEI techniques compared favourably with errors observed in actual machine use. Second, the HEI techniques took far less time than direct observation to reach comparable levels of performance. Such rates suggest that these techniques can be usefully applied to the study of consumer products.

product evaluation, public technology, error identification
0003-6870
119-131
Baber, C.
e99ff51e-10d2-48b7-8da6-56990b988f8b
Stanton, N.A.
351a44ab-09a0-422a-a738-01df1fe0fadd
Baber, C.
e99ff51e-10d2-48b7-8da6-56990b988f8b
Stanton, N.A.
351a44ab-09a0-422a-a738-01df1fe0fadd

Baber, C. and Stanton, N.A. (1996) Human error identification techniques applied to public technology: predictions compared with observed use. Applied Ergonomics, 27 (2), 119-131. (doi:10.1016/0003-6870(95)00067-4). (PMID:15677051)

Record type: Article

Abstract

In this paper, we consider the use of human error identification (HEI) techniques as a possible alternative to observation studies for product evaluation. The HEI techniques used were Task Analysis for Error Identification (TAFEI) and Predictive Human Error Analysis (PHEA). The comparison was undertaken in connection with the prediction of errors in the use of a ticket vending machine. Two main findings emerged from the study. First, predictions derived from the HEI techniques compared favourably with errors observed in actual machine use. Second, the HEI techniques took far less time than direct observation to reach comparable levels of performance. Such rates suggest that these techniques can be usefully applied to the study of consumer products.

This record has no associated files available for download.

More information

Published date: April 1996
Keywords: product evaluation, public technology, error identification

Identifiers

Local EPrints ID: 76088
URI: http://eprints.soton.ac.uk/id/eprint/76088
ISSN: 0003-6870
PURE UUID: 23a3873f-35ab-4441-a0ab-be376489e6fb
ORCID for N.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: C. Baber
Author: N.A. Stanton ORCID iD

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.

×