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Динамика приобретения и применения знаний при решении комплексной проблемы по управлению новой системой
Solving a complex problem during interaction with a novel complex system (a virtual factory) is considered from view of dynamics of knowledge acquisition and knowledge application. Performance of successful and non-successful participants is compared based on objective indicators (e.g., profit gained, actions on acquisition of information about the system and actions to control the system, eye movements, etc.) and subjective indicators (participants’ evaluation of various aspects of the problem and performance). Eye tracking has been conducted in the context of classification of participants’ work with: (a) information panels of the factory, and (b) panels with controls. It was postulated that: (a) looking at the information panels is related to knowledge acquisition, and (b) looking at the panels with controls and practical actions on the controls are related to knowledge application. It has been shown that in the initial stages of complex problem solving successful participants set cognitive aims linked to the understanding of the system rather than practical aims (i.e., gaining profit). Non-successful participants set practical aims rather than cognitive ones. When novel variables were introduced into the system successful participants started prioritizing cognitive aims compared to practical aims whereas non-successful participants weakened both cognitive and practical aims. In conclusion, a hypothesis is put forward that success or failure in the management of novel systems can be linked to the type and intensity of cognitive and practical goals which participants set by themselves.