An analysis of eye-tracking data in foveated ray tracing

We present an analysis of eye tracking data produced during a quality-focused user study of our own foveated ray tracing method. Generally, foveated rendering serves the purpose of adapting actual rendering methods to a user’s gaze. This leads to performance improvements which also allow for the use of methods like ray tracing, which would be computationally too expensive otherwise, in fields like virtual reality (VR), where high rendering performance is important to achieve immersion, or fields like scientific and information visualization, where large amounts of data may hinder real-time rendering capabilities. We provide an overview of our rendering system itself as well as information about the data we collected during the user study, based on fixation tasks to be fulfilled during flights through virtual scenes displayed on a head-mounted display (HMD). We analyze the tracking data regarding its precision and take a closer look at the accuracy achieved by participants when focusing the fixation targets. This information is then put into context with the quality ratings given by the users, leading to a surprising relation between fixation accuracy and quality ratings.We would like to thank NVIDIA for providing us with two Quadro K6000 graphics cards for the user study, the Intel Visual Computing Institute, the European Union (EU) for the co-funding as part of the Dreamspace project, the German Federal Ministry for Economic Affairs and Energy (BMWi) for funding the MATEDIS ZIM project (grant no KF2644109) and the Federal Ministry of Education and Research (BMBF) for funding the project OLIVE