We present a novel method to derive users’ cognitive workload intensity based on their pupillary diameter responses using eye-tracking technology. Contrary to several prior instruments with a static measurement our new method is applicable to all kind of experimental setting with varying degrees of difficulty with a dynamic measurement The method uses a hybrid data analysis approach making it suitable for analyzing basic information systems supporting the fulfillment of less difficult tasks as well as for evaluating more complex information systems containing several dynamic web elements, interaction functions and advertising banners supporting the fulfillment of tasks of all kinds of difficulty. We successfully evaluated the method by two experiments with different settings. The results of these experiments based on pupillary diameter responses show significant differences between tasks of low, medium, and high demand levels, and outline the suitability of our new method to accurately estimate IS users’ cognitive workload in different scenarios.



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