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A Dynamic Process Model for Predicting Workload in an Air Traffic ControllerTask

Abstract

We present a dynamic process model for workload, developedaccording to a conducted experiment, which recorded the pupildilation during an air traffic controller simulation. We describehow we built such a dynamic system based on the collecteddata. Logged events that happened in our simulation were usedas system input and the recorded pupil dilation as output. Af-terwards, we used the MATLAB system identification toolboxto identify the transfer function between input and output. Theidentified model is validated with a validation data set that hasbeen excluded from the identification process. Results showthat we are able to explain nearly 50% of the variance of therecorded pupil dilation data in the air traffic controller simu-lation. Moreover, the model explains some contrary results ofthe statistical analysis from our experiment.

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