15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
ASSESSING HUMAN SUPERVISION STRATEGIES WITH QUALITATIVE REASONING TECHNIQUES
P. Ponsa1, A. Català1, L. Travé-Massuyès1,2, M. Díaz1
1- GREC - Research Group on Knowledge Engineering, UPC Technical
University of Catalonia, Av Victor Balaguer s/n 08800 Vilanova i la Geltru,
e-mail: {pponsa, andreu}@esaii.upc.es, marta.diaz@upc.es
2- LAAS-CNRS & LEA-SICA, 7, Avenue du Colonel Roche, 31077 Toulouse
Cedex, e-mail: louise@laas.fr
In dynamic process supervision it is important to exhibit the different human operator behaviour patterns when performed a specified task. This paper presents a method based on a micro-world environment to, first, outline the concepts underlying the different human operator strategies, and second, encapsulate them in a library of artificial agents. These artificial agents are then used as indicators to which human operators behaviours can be compared to assess the reasoning strategy.
Keywords: supervisory control, qualitative reasoning, human-machine interface
E-mail: pponsa@esaii.upc.es
Session slot T-Tu-E03: Virtual Reality and Human Intelligence/Area code 5b : Human-Machine Systems