Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data

Stefan Zugal, Jakob Pinggera, Manuel Neurauter, Thomas Maran, Barbara Weber

Research output: Contribution to journalJournal articleResearchpeer-review

164 Downloads (Pure)

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.
Original languageEnglish
JournalArXiv
Number of pages15
Publication statusPublished - 2017

Bibliographical note

S. Zugal, J. Pinggera, M. Neurauter, T. Maran and B. Weber: Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data. Technical Report arXiv:1703.09468. arXiv, 2017.

Keywords

  • Cheetah experimental platform
  • Pupillometry
  • Eye tracking
  • Cognitive load

Fingerprint Dive into the research topics of 'Cheetah Experimental Platform Web 1.0: Cleaning Pupillary Data'. Together they form a unique fingerprint.

Cite this