Title :
A model-based aid for monitoring and controlling a large-scale system
Author :
Zinser, Klaus ; Henneman, Richard L.
Author_Institution :
Asea Brown Boveri, Heidelberg, West Germany
Abstract :
Approaches to aiding human performance in monitoring and controlling a large-scale system are considered. One particular approach that is based on a model of human performance is described in detail. The model includes a rule-based representation of procedural knowledge, a frame-based representation of declarative knowledge, and a fuzzy prioritization mechanism to handle rule of conflicts. The online aiding approach is implemented in a simulated large-scale system that requires human monitoring and control. Results from an experimental evaluation of the aid are inconclusive in that they do not demonstrate the benefit of a direct advice-giving system; however, the aiding approach was found helpful in some tasks
Keywords :
knowledge representation; large-scale systems; monitoring; user interfaces; declarative knowledge; fuzzy prioritization mechanism; human performance; knowledge representation; large-scale system; model-based aid; monitoring; procedural knowledge; rule of conflicts; rule-based representation; user interfaces; Algebra; Control system synthesis; Humans; Large-scale systems; Monitoring; Neural networks; Neurons; Stability; Sufficient conditions; Symmetric matrices;
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
