Gaze-based attention network analysis in a virtual reality classroom.

ABSTRACT: This article provides a step-by-step guideline for measuring and analyzing visual attention in 3D virtual reality (VR) environments based on eye-tracking data. We propose a solution to the challenges of obtaining relevant eye-tracking information in a dynamic 3D virtual environment and calculating interpretable indicators of learning and social behavior. With a method called "gaze-ray casting," we simulated 3D-gaze movements to obtain information about the gazed objects. This information was used to create graphical models of visual attention, establishing attention networks. These networks represented participants' gaze transitions between different entities in the VR environment over time. Measures of centrality, distribution, and interconnectedness of the networks were calculated to des

SUBMITTER: Stark P 

PROVIDER: S-EPMC10993185 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature