Analyzing AR Viewing Experience through Analytics Heat Maps for Augmented Content

Abstract

Analytics is a well-known form of capturing information about the user behavior of an application. Augmented reality applications deal with specific data such as the camera pose, not being supported by popular analytics frameworks. To fill such gap, this work proposes an analytics framework solution for augmented reality applications. It supports both marker-based and markerless augmented reality scenarios, collecting data related to camera pose and time spent by the user on each position. Besides the multiplatform capture tool, the framework provides a data analysis visualization tool capable of highlighting the most visited 3D positions, users main areas of interest over the marker plane, the 3D path performed by the camera and also a recovery of the content viewed by the user based on the collected camera pose information.