September 2017
Volume 17, Issue 10
Open Access
Vision Sciences Society Annual Meeting Abstract  |   August 2017
CHAP: An Open Source Software for Processing and Analyzing Pupillometry Data
Author Affiliations
  • Ronen Hershman
    Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel
    Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
  • Noga Cohen
    Department of Psychology, Columbia University, New York, USA
  • Avishai Henik
    Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel
    Department of Psychology, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Journal of Vision August 2017, Vol.17, 543. doi:10.1167/17.10.543
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      Ronen Hershman, Noga Cohen, Avishai Henik; CHAP: An Open Source Software for Processing and Analyzing Pupillometry Data. Journal of Vision 2017;17(10):543. doi: 10.1167/17.10.543.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Pupil dilation is an effective indicator of cognitive load. There are many available eye tracker systems in the market that provide effective solutions for pupil dilation measurement, which can be used to assess different cognitive and affective processes. However, there is a lack of tools for processing and analyzing the data provided by these systems. For this reason, we developed CHAP - an open source software written in Matlab. This software provides a user-friendly interface (graphical user interface) for processing and analyzing pupillometry data. The software receives input of a standard output file from the Eyelink (EDF file) and the Eyetribe (CSV file) eye trackers and provides both pre-processing and initial analysis of the data. Our software creates uniform conventions for building and analyzing pupillometry experiments, and provides a quick and easy-to-implement solution for researchers interested in pupillometry.

Meeting abstract presented at VSS 2017

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