Measuring pupil size with eye tracking

Webinar details

Fluctuations in pupil size provide insights into diverse cognitive processes, such as interest, cognitive load, attention, and surprise. Guest speakers, Prof. Dr. Mariska Kret and Prof. Dr. Sylvain Sirois, experts in measuring pupil size with eye tracking, will provide a methodological walk-through of best practices for data collection and analysis. Their presentations will include practical examples from research with non-human primates, human adults, and infants. Sign up now to discover how pupil size measurements can enhance your research.

Covered topics include:

• Pupil size data collection, preprocessing and analysis using eye tracking

• The PhysioData Toolbox demo for pupil size recordings

• Correlating pupil responses to behavior and cognitive processes in humans and non-human primates

Talks

Pupil data collection, analysis and practical applications

Prof. Dr. Mariska Kret, Leiden University

In this talk, Dr. Mariska Kret will introduce the audience to pupil size measurements using eye tracking. She will discuss pupil size data preprocessing and analysis and will share insights from her research in comparative psychology and affective neuroscience. Dr. Mariska Kret will also provide examples from her studies on adults and non-human primates.

The PhysioData Toolbox demo for pupil size recordings

Anouschka van Dijk (PhD. candidate)

Anouschka will provide a practical demo about the PhysioData Toolbox, developed in the Leiden University in the Netherlands. The PhysioData Toolbox is a free easy-to-use and fully graphical application for visualizing, segmenting and analyzing physiological data, including eye tracking data recorded with E-Prime extensions for Tobii.

Learn more about the PhysioData Toolbox.

Treating pupil data as functions

Prof. Dr. Sylvain Sirois, UQTR

Pupil dilation can be an invaluable dependent measure. In adults, it indexes implicit processes that may not be amenable to be explicitly reported otherwise. In the case of preverbal infants, it provides a unique, dynamic window into information processing. This talk focuses on hypothesis testing with pupil data using functional data analysis (FDA). We begin with some caveats about theory (i.e., what specific cognitive mechanism is assessed with pupils) and procedure (experimental design, luminance, baseline corrections…). We then examine some infant data and how analyses are conducted. Finally, we show a similar approach with adult data from an auditory oddball task. Time permitting, we will explore derivatives of the pupil as a functional object, namely velocity and acceleration, and how these may index processing speed in participants.