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The reorganisation of working environments, derived from the introduction of new technologies, and the complexity of modern plants may generate very heavy mental workload and stress as well as mental conditions such as anxiety, difficulty in decision making and lack of concentration. This results in new sources of errors, such as low quality work and an increased probability of human errors, which need to be accounted for when evaluating the reliability and safety of a man-machine system. Moreover, the newly defined role of the human operator creates new control strategies, where the plant is managed by the collaboration between humans and intelligent support systems. Such complications at the design level can be tackled using appropriate simulations of the system. In this paper the problems associated with this type of cognitive model are discussed. The theoretical bases and computational architecture of COSIMO (COgnitive SImulation MOdel) are described briefly, and experimental work and data collected are analysed. A critical comparison between real data (from a real, complex working environment) and the ability of the model to cope with them is presented. Finally, there is a discussion on the new trends of research derived from this case study and future development work.

Additional information

Bibliographic Reference: Article: Sociologia del Lavoro, Vol. 44 (1991) pp. 175-195
Record Number: 199211208 / Last updated on: 1994-11-29
Original language: en
Available languages: en
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