Analysing work in complex industrial systems - A practical cognitive systems engineering approach

This paper explores how operator work can be categorized by using a model based on cognitive systems engineering. Operator tasks and needs during work in complex and highly automated systems were mapped using a workshop technique with 12 experts from different industrial domains. The results from mapping the tasks and needs onto the model showed that it could account for most of the items produced during the workshops. The practical use of the model as a catalyst for design teams in engineering of human-automation interaction is discussed