CHAP: Open-source software for processing and analyzing pupillometry data

Ronen Hershman; Avishai Henik; Noga Cohen

doi:10.3758/s13428-018-01190-1

CHAP: Open-source software for processing and analyzing pupillometry data

Behav Res Methods. 2019 Jun;51(3):1059-1074. doi: 10.3758/s13428-018-01190-1.

Authors

Ronen Hershman^{1

2}, Avishai Henik^{3

4}, Noga Cohen^{5

6}

Affiliations

¹ Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ronenhe@post.bgu.ac.il.
² Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ronenhe@post.bgu.ac.il.
³ Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
⁴ Department of Psychology, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
⁵ Department of Special Education, University of Haifa, Haifa, Israel.
⁶ The Edmond J. Safra Brain Research Center for the Study of Learning Disabilities, University of Haifa, Haifa, Israel.

PMID: 30710333
DOI: 10.3758/s13428-018-01190-1

Abstract

Pupil dilation is an effective indicator of cognitive and affective processes. Although several eyetracker systems on the market can provide effective solutions for pupil dilation measurement, there is a lack of tools for processing and analyzing the data provided by these systems. For this reason, we developed CHAP: open-source software written in MATLAB. This software provides a user-friendly graphical user interface for processing and analyzing pupillometry data. Our software creates uniform conventions for the preprocessing and analysis of pupillometry data and provides a quick and easy-to-use tool for researchers interested in pupillometry. To download CHAP or join our mailing list, please visit CHAP's website: http://in.bgu.ac.il/en/Labs/CNL/chap .

Keywords: Bayesian analysis; GUI; MATLAB; Open-source code; Pupillometry.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Software*