Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data

TL;DR

This paper introduces CEP-Web, an open-source platform with a GUI for cleaning pupillary data to improve cognitive load measurement via eye-tracking, facilitating standardized data processing in research.

Contribution

The paper presents CEP-Web, a novel open-source tool that standardizes pupillary data cleaning with a user-friendly interface for cognitive load research.

Findings

Provides a comprehensive data cleaning routine for pupillary data.

Enables management of multiple studies and subjects.

Lays groundwork for future analysis and TEPR support.

Abstract

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.