Abstract
The purpose of this research was to evaluate the effect of system state uncertainty and data reliability on a diagnostic decision task when system data was presented in three different display formats (Digital, Bargraph and Configural). Properties of an actual process control system were simulated in the experiment by varying both system state uncertainty and data reliability. Classification strategy emerged as a major determinant of classification performance across display conditions.
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