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

Ronen Hershman, Avishai Henik, Noga Cohen

Department of Special Education

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	1059-1074
Number of pages	16
Journal	Behavior Research Methods
Volume	51
Issue number	3
DOIs	https://doi.org/10.3758/s13428-018-01190-1
State	Published - 15 Jun 2019

Bibliographical note

Funding Information:
Author note This work was supported by funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007–2013)/ERC Grant Agreement no. 295644. We thank Desiree Meloul for helpful comments and useful input on this article. We also thank Yoav Kessler and Joseph Tzelgov for their advice regarding statistical analysis, and Stuart Steinhauer for his helpful input on pupil parameters. In addition, we thank Sam Hutton for his help with the adaptation of CHAP to EyeLink data, Reem Mulla for her help with the adaptation of CHAP to ASL data, Leah Fostick for her help with the adaptation of CHAP to Tobii data, and Nicole Amichetti for her help with the adaptation of CHAP for Mac users. Finally, we thank all present CHAP users for their helpful feedback and advice, especially Dina Devyatko and Dalit Milshtein, who also provided feedback on this article.

Publisher Copyright:
© 2019, The Psychonomic Society, Inc.

Keywords

Bayesian analysis
GUI
MATLAB
Open-source code
Pupillometry

ASJC Scopus subject areas

Experimental and Cognitive Psychology
Developmental and Educational Psychology
Arts and Humanities (miscellaneous)
Psychology (miscellaneous)
General Psychology

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10.3758/s13428-018-01190-1

Cite this

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title = "CHAP: Open-source software for processing and analyzing pupillometry data",

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{\textquoteright}s website: http://in.bgu.ac.il/en/Labs/CNL/chap.",

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note = "Funding Information: Author note This work was supported by funding from the European Research Council under the European Union{\textquoteright}s Seventh Framework Programme (FP7/2007–2013)/ERC Grant Agreement no. 295644. We thank Desiree Meloul for helpful comments and useful input on this article. We also thank Yoav Kessler and Joseph Tzelgov for their advice regarding statistical analysis, and Stuart Steinhauer for his helpful input on pupil parameters. In addition, we thank Sam Hutton for his help with the adaptation of CHAP to EyeLink data, Reem Mulla for her help with the adaptation of CHAP to ASL data, Leah Fostick for her help with the adaptation of CHAP to Tobii data, and Nicole Amichetti for her help with the adaptation of CHAP for Mac users. Finally, we thank all present CHAP users for their helpful feedback and advice, especially Dina Devyatko and Dalit Milshtein, who also provided feedback on this article. Publisher Copyright: {\textcopyright} 2019, The Psychonomic Society, Inc.",

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

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Bibliographical note

Keywords

ASJC Scopus subject areas

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