The effects of level of knowledge upon human problem solving in a process control task

1983 ◽  
Author(s):  
Nancy M. Morris ◽  
William B. Rouse
1983 ◽  
Vol 27 (8) ◽  
pp. 690-694
Author(s):  
Nancy M. Morris ◽  
William B. Rouse

The question of what the operator of a dynamic system needs to know was investigated in an experiment using PLANT, a generic simulation of a process. Knowledge of PLANT was manipulated via different types of instructions, so that four different groups were created: 1) Minimal instructions only; 2) Minimal instructions + guidelines for operation (Procedures); 3) Minimal instructions + dynamic relationships (Principles); 4) Minimal instructions + Procedures + Principles. Subjects then controlled PLANT in a variety of familiar and unfamiliar situations. Despite the fact that these manipulations resulted in differences in subjects' knowledge as assessed via a written test at the end of the experiment, instructions had no effect upon achievement of the primary goal of production; however, those groups receiving Procedures controlled the system in a more stable manner. Principles had no apparent effect upon subjects' performance. There was no difference between groups in diagnosis of unfamiliar events.


1983 ◽  
Vol 27 (8) ◽  
pp. 695-699 ◽  
Author(s):  
Annette Knaeuper ◽  
William B. Rouse

Human problem solving is considered in terms of the effects of the environment being dynamic. For example, the impact of having to operate a system while also trying to diagnose failures is discussed as well as several related issues. A general structure is proposed for modeling human problem solving in such environments. A realization of this general structure within a particular rule-based computer program is discussed. Results are presented from applying this program to modeling human problem solving in a process control task.


Author(s):  
W. G. Bouricius ◽  
J. M. Keller

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