An eye-tracking dataset for visual attention modelling in a virtual museum context

Abstract

Predicting the user's visual attention enables a virtual reality (VR) environment to provide a context-aware and interactive user experience. Researchers have attempted to understand visual attention using eye-tracking data in a 2D plane. In this poster, we propose the first 3D eye-tracking dataset for visual attention modelling in the context of a virtual museum. It comprises about 7 million records and may facilitate visual attention modelling in a 3D VR space.