Modelling of human-machine systems a challenge for systems analysis

Björn Wahlström

Research output: Chapter in Book/Report/Conference proceedingChapter or book articleProfessional

Abstract

Recent industrial accidents have proved the need for considering also human acts influencing the safety of industrial installations. An understanding of human errors relies on an understanding of the cognitive mechanisms of human decision making. Different attempts have been made to build models of the human operator, but the models have mostly concentrated on single individuals and isolated tasks. The models developed are also descriptive and are not very useful in guiding the design of new systems. At present there is no model, by which accurate predictions of the performance of a socio-technical system can be given. It is necessary to develop new modeling techniques, before it is possible to model the human parts of industrial installations to such a degree of accuracy that it is possible to predict their safety. The chapter discusses different modeling approaches, their advantages and disadvantages in providing guidance for designing future systems. The chapter discusses also some general requirements on the modeling methods of human-machine systems.
Original languageEnglish
Title of host publicationComputer Supported Risk Management
EditorsGiampiero E.G. Beroggi, William A. Wallace
Place of PublicationLondon
PublisherKluwer Academic Publishers
Pages61-77
ISBN (Electronic)978-94-011-0245-2
ISBN (Print)978-0-7923-3372-2, 978-94-010-4109-6
DOIs
Publication statusPublished - 1995
MoE publication typeD2 Article in professional manuals or guides or professional information systems or text book material

Publication series

SeriesTopics in Safety, Risk, Reliability and Quality
Volume4
ISSN1566-0443

Fingerprint

Dive into the research topics of 'Modelling of human-machine systems a challenge for systems analysis'. Together they form a unique fingerprint.

Cite this