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Abstract

The report is the result of a study recently performed to develop a systematic approach for the collection and classification of data on human errors in industrial plants. As a first step, the definition of human error was studied; the analysis of existing human error taxonomies then followed. A new approach was developed, which recognised the importance of the rapporteur biases in human error data coding, which was concerned with modelling the dynamics of the recovery path from malfunctions, and which acknowledged that socio-technical and socio-organisational parameters have to be taken into account. The architecture of a database in which to organise the various information was developed and a prototype version of the database was set up. This database constitutes also an internal industrial management procedure, which enables an audit to be performed on socio-organisational factors whenever a "human-system" mismatch takes place.

Additional information

Authors: BAGNARA S, University of Siena (IT);DI MARTINO C, EDRA, Milano (IT);LISANTI B, EDRA, Milano (IT);MANCINI G, JRC Ispra (IT);RIZZO A, CNR, Institute of Psychology, Roma (IT)
Bibliographic Reference: Paper presented: Probabilistic Safety Assessment and Management (PSAM), Beverly Hills (US), Feb. 4-7, 1991
Availability: Available from (1) as Paper EN 35602 ORA
Record Number: 199011605 / Last updated on: 1994-12-02
Category: PUBLICATION
Original language: en
Available languages: en