Human error identification techniques applied to public technology: predictions compared with observed use
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 ).
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Description/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.
| Item Type: | Article |
|---|---|
| ISSNs: | 0003-6870 (print) 1872-9126 (electronic) |
| Keywords: | product evaluation, public technology, error identification |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) B Philosophy. Psychology. Religion > BF Psychology H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management |
| Divisions: | University Structure - Pre August 2011 > School of Civil Engineering and the Environment |
| Item ID: | 76088 |
| Date Deposited: | 11 Mar 2010 |
| Last Modified: | 01 Jun 2011 15:44 |
| Contributors: | Baber, C. (Author) Stanton, N.A. (Author) |
| Date: | April 1996 |
| Status: | Published |
| URI: | http://eprints.soton.ac.uk/id/eprint/76088 |
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