Data-driven group comparisons of eye fixations to dynamic stimuli.

ABSTRACT: Recent advances in software and hardware have allowed eye tracking to move away from static images to more ecologically relevant video streams. The analysis of eye tracking data for such dynamic stimuli, however, is not without challenges. The frame-by-frame coding of regions of interest (ROIs) is labour-intensive and computer vision techniques to automatically code such ROIs are not yet mainstream, restricting the use of such stimuli. Combined with the more general problem of defining relevant ROIs for video frames, methods are needed that facilitate data analysis. Here, we present a first evaluation of an easy-to-implement data-driven method with the potential to address these issues. To test the new method, we examined the differences in eye movements of self-reported politically left-

SUBMITTER: Onwuegbusi T 

PROVIDER: S-EPMC9016662 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature