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Activity Number: 75 - Contributed Poster Presentations: Biometrics Section
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Biometrics Section
Abstract #312671
Title: An R Shiny Web Application Useful for Aiding Researchers in the Analysis of Eye Tracking Data
Author(s): Nathan Varberg* and Nathaniel Thom
Companies: and Wheaton College
Keywords: eye tracking; biometric; stimuli; attentional bias; gaze; neuroscience

Neuroscientists and psychologists are increasingly turning to eye tracking technology as a window to the brain. Eye tracking involves using a camera system to record how a participant's gaze interacts with stimuli presented on a screen, giving researchers insight into how a participant processes visual information. A necessary prerequisite to drawing inferences from eye tracking data is the calculation of various, stimulus-specific metrics, such as the number of fixations on each stimulus and the average length of those fixations. I have developed an R Shiny web application that, when used in conjunction with a Tobii Pro eye tracking device, allows researchers to easily calculate these metrics. This tool is of use to statisticians in research groups that use eye tracking technology, allowing them to streamline their data analysis process.

Authors who are presenting talks have a * after their name.

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