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

Ronen Hershman1,2, Avishai Henik3,4, Noga Cohen5,6

  • 1Department of Cognitive and Brain Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel. ronenhe@post.bgu.ac.il.

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Summary
This summary is machine-generated.

Researchers can now easily process and analyze pupil dilation data using CHAP, a new open-source MATLAB software. This tool standardizes pupillometry analysis for cognitive and affective research.

Keywords:
Bayesian analysisGUIMATLABOpen-source codePupillometry

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Area of Science:

  • Cognitive Neuroscience
  • Psychophysiology
  • Human-Computer Interaction

Background:

  • Pupil dilation is a key indicator of cognitive and affective states.
  • Existing eyetracker systems generate pupil dilation data, but lack dedicated processing tools.
  • This gap hinders consistent and efficient pupillometry data analysis.

Purpose of the Study:

  • To introduce CHAP, an open-source MATLAB software for pupillometry data processing and analysis.
  • To provide researchers with a user-friendly graphical interface for analyzing pupil dilation.
  • To establish uniform conventions for pupillometry data preprocessing and analysis.

Main Methods:

  • Development of CHAP, a software tool using MATLAB.
  • Implementation of a graphical user interface (GUI) for ease of use.
  • Standardization of preprocessing and analysis pipelines for pupillometry data.

Main Results:

  • CHAP offers a user-friendly platform for processing and analyzing pupillometry data.
  • The software ensures uniform conventions in data handling.
  • Provides a quick and accessible tool for researchers in the field.

Conclusions:

  • CHAP addresses the need for specialized pupillometry analysis software.
  • Facilitates more accessible and standardized research into cognitive and affective processes via pupil dilation.
  • Encourages wider adoption of pupillometry in scientific research.