Evaluating cognitive load as part of user studies

Detection of cognitive load is valuable part of user studies. There are different methods which can detect amount of cognitive load in user studies. In the present, cognitive load detection with use of eyetracking becomes popular.
In our work we propose new method which can detect cognitive load in any web application with only short calibration procedure. Our method focuses on absolute pupil dilation which is proven effect of mental activity. We propose new way how to solve luminosity interference, so we can determine dilation’s size caused by mental activity independent from light’s conditions change. This method allows us measure instant or aggregated cognitive load.