HCMar 28, 2017

Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data

arXiv:1703.09468v26 citationsHas Code
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This provides a tool for researchers in fields like educational psychology and human-computer interaction to improve reliability in cognitive load measurement, though it is incremental as it builds on existing data processing methods.

The authors tackled the lack of standardized data processing for measuring cognitive load via pupil dilation by developing CEP-Web, an open-source platform with a graphical user interface for cleaning pupillary data and managing studies.

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.

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