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 information processing capacity of the brain. The widespread adoption of eye-tracking devices led to increased attention for objectively measuring cognitive load via pupil dilation. However, this approach requires a standardized data processing routine to reliably measure cognitive load. This technical report presents CEP-Web, an open source platform to providing state of the art data processing routines for cleaning pupillary data combined with a graphical user interface, enabling the management of studies and subjects. Future developments will include the support for analyzing the cleaned data as well as support for Task-Evoked Pupillary Response (TEPR) studies.
@article{arxiv.1703.09468,
title = {Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data},
author = {Stefan Zugal and Jakob Pinggera and Manuel Neurauter and Thomas Maran and Barbara Weber},
journal= {arXiv preprint arXiv:1703.09468},
year = {2018}
}