Current models on operator behavior in supervisory control systems are reviewed with special focus on their usefulness for graphical design of human-machine interfaces in dynamic technical systems. An alternative framework is described and used in a knowledge based approach to represent information search behavior of operators for graphical design purposes.
Get full access to this article
View all access options for this article.
References
1.
AndersonJ.R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.
2.
BorysB.-B.HanselH.G.JohannsenG.SchmidtJ. (1987). Task and knowledge analysis in coal-fired power plants. IEEE Control Systems Magazine, 7, 26–29.
3.
Intellicorp (1987). KEE. Software Development System. KEEworlds Reference Manual.
4.
JagacinskiR.J. (1978). Describing the human operator's internal model of a dynamic system. Human Factors, 20, 425–433.
5.
JohannsenG.RouseW.B. (1979). Mathematical concepts for modeling human behavior in complex man-machine systems. Human Factors, 21, 733–747.
6.
JohannsenG.BorndorffS.SundströmG.A. (1987). Knowledge elicitation and representation for supporting power plant operators and designers. First European Meeting on Cognitive Science Approaches to Process Control, Marcoussis, France, October.
7.
KnäuperA.RouseW.B. (1985). A rule-based model of human problem solving behavior in dynamic environments. IEEE Transactions on Systems, Man, and Cybernetics, 15, 708–719.
8.
MitchellC.M. (1983). Design strategies for computer-based information displays in real-time control systems. Human Factors, 25, 353–369.
9.
MitchellC.M. (1986). A discrete control model of operator function: A methodology for information display design. IEEE Transactions on Systems, Man, and Cybernetics, 16, 342–357.
10.
NewllA.SimonH.A. (1972). Human problem solving. Englewood Cliffs, N.J.: Prentice Hall.
11.
PayneJ.W.BraunsteinM.L.CarrollJ.S. (1978). Exploring predecisional behavior: An alternative approach to decision research. Organizational Behavior and Human Performance, 22, 17–44.
12.
RasmussenJ. (1981). Models of mental strategies in process plant diagnosis. In, RasmussenJ.RouseW.B. (Eds.), Human detection and diagnosis of system failures. New York, N.Y.: Plenum Press.
13.
RasmussenJ. (1983). Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Transactions on Systems, Man, and, Cybernetics, 13, 257–266.
14.
RasmussenJ. (1984). Strategies for state identification and diagnosis in supervisory control tasks, and design of computer based support systems. In, RouseW.B. (Ed.), Advances in man-machine systems research. Vol. 1. Greenwich: JAI Press.
15.
RouseW.B. (1983). Models of human problem solving: Detection, diagnosis, and compensation for system failures. Automatica, 19, 613–625.
16.
SimonH.A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69, 99–118.
17.
SternbergS. (1969). High-speed scanning in human memory. Science, 153, 652–654.
18.
StichaP.J. (1987). Models of procedural control for human performance simulation. Human Factors, 29, 421–432.
19.
SundströmG.A. (1987). Information search and decision making: The effects of information displays. Acta Psychologica, 65, 165–179.
20.
SundströmG.A. (1988). User modelling: A new technique to support designers of graphical support systems in conventional power plants. Proceedings of the 3rd IFAC/IFIP/IEA/IFORS conference on Man-Machine Systems in Oulu, Finland.