A HUMAN ERROR TAXONOMY BASED ON COGNITIVE ENGINEERING AND ON SOCIAL AND OCCUPATIONAL PSYCHOLOGYFunded under: JRC-INDHAZ 2C
The work described in this report aimed at analysing the possibility of using a Knowledge Based System approach to the collection and classification of data on human errors in industrial plants. A new approach to human error taxonomy was developed, characterised by the capability of recognising the importance of rapporteur biases in human error data coding, and by the large interest devoted to the recovery path from malfunctions, which has practically been neglected up to now. The possibility of using an "Expert System" approach in data collection was analysed, and the structure for a data bank which can be the basis for the development of a Knowledge Based System was defined. A prototype version of the data base was developed. The possibility of using data from different data banks on accidental events was considered, but it was shown that the structure of most "classical" data banks on accident/abnormal events does not fit the one developed in this study. An example of accidental event was introduced into the data bank. It dealt with a human error event in an Italian metal manufacturing industry.
Bibliographic Reference: EUR 12624 EN (1990), 55 PP., MF, ECU 4, BLOW-UP COPY ECU 7.50 THE OFFICE FOR OFFICIAL PUBLICATIONS OF THE EUROPEAN COMMUNITIES, L-2985 LUXEMBOURG
Availability: Can be ordered online
Record Number: 1989128057100 / Last updated on: 1990-11-09
Available languages: en