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Recently, researchers started using cognitive load in various settings, e.g.,educational psychology, cognitive load theory, or human-computer interaction.Cognitive load characterizes a tasks' demand on the limited informationprocessing capacity of the brain. The widespread adoption of eye-trackingdevices led to increased attention for objectively measuring cognitive load viapupil dilation. However, this approach requires a standardized data processingroutine to reliably measure cognitive load. This technical report presentsCEP-Web, an open source platform to providing state of the art data processingroutines for cleaning pupillary data combined with a graphical user interface,enabling the management of studies and subjects. Future developments willinclude the support for analyzing the cleaned data as well as support forTask-Evoked Pupillary Response (TEPR) studies.

Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data