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The Role of Operator State Assessment in Adaptive Automation
TNO DEFENCE SECURITY AND SAFETY SOESTERBERG (NETHERLANDS)
Pagination or Media Count:
Computer systems are capable to take over more and more tasks from human operators, but this does not always improve the performance of the human-machine system. Automation of which the level is made dependent on the situation may be an improvement for the performance. One of the parameters that might be used for this so-called adaptive automation is the state of the operator that can be estimated with physiological parameters. This report provides a literature review on physiological measures and adaptive automation, and a model that describes the relation between the state of the operator, the human information processing and the interaction with the outside world. Furthermore, the results of a laboratory experiment are discussed. In this experiment, several physiological measures were monitored during the task performance of operators from the Netherlands Navy. The literature review shows that physiological measures are promising for adaptive automation. The model is used to argue that there are many situations in which state estimators might not be useful for adaptive automation. Moreover, the results of the experiment show that it is difficult to measure the state within small time segments which is necessary for adaptive automation.
APPROVED FOR PUBLIC RELEASE