A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering

  • Thorsten Roth Bonn-Rhein-Sieg University of Applied Sciences Brunel University London
  • Martin Weier Bonn-Rhein-Sieg University of Applied Sciences Saarland University
  • André Hinkenjann Bonn-Rhein-Sieg University of Applied Sciences
  • Yongmin Li Brunel University London
  • Philipp Slusallek Saarland University Intel Visual Computing University German Research Centre for Artificial Intelligence (DFKI)
Keywords: Rendering, Ray tracing, data analysis, perceived quality, eye tracking, foveated rendering, eye movement, region of interest, gaze

Abstract

This work presents the analysis of data recorded by an eye tracking device in the course of evaluating a foveated rendering approach for head-mounted displays (HMDs). Foveated ren- dering methods adapt the image synthesis process to the user’s gaze and exploiting the human visual system’s limitations to increase rendering performance. Especially, foveated rendering has great potential when certain requirements have to be fulfilled, like low-latency rendering to cope with high display refresh rates. This is crucial for virtual reality (VR), as a high level of immersion, which can only be achieved with high rendering performance and also helps to reduce nausea, is an important factor in this field. We put things in context by first providing basic information about our rendering system, followed by a description of the user study and the collected data. This data stems from fixation tasks that subjects had to perform while being shown fly-through sequences of virtual scenes on an HMD. These fixation tasks consisted of a combination of various scenes and fixation modes. Besides static fixation targets, moving tar- gets on randomized paths as well as a free focus mode were tested. Using this data, we estimate the precision of the utilized eye tracker and analyze the participants’ accuracy in focusing the displayed fixation targets. Here, we also take a look at eccentricity-dependent quality ratings. Comparing this information with the users’ quality ratings given for the displayed sequences then reveals an interesting connection between fixation modes, fixation accuracy and quality ratings.

Author Biographies

Thorsten Roth, Bonn-Rhein-Sieg University of Applied Sciences Brunel University London
Institute of Visual Computing, Research Associate
Martin Weier, Bonn-Rhein-Sieg University of Applied Sciences Saarland University
Institute of Visual Computing, Research Associate
André Hinkenjann, Bonn-Rhein-Sieg University of Applied Sciences
Director of the Institute of Visual Computing, Professor for Computer Graphics and Interactive Systems
Yongmin Li, Brunel University London
Department of Computer Sciences, Senior Lecturer
Published
28-09-2017
How to Cite
Roth, T., Weier, M., Hinkenjann, A., Li, Y., & Slusallek, P. (2017). A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering. Journal of Eye Movement Research, 10(5). https://doi.org/10.16910/jemr.10.5.2
Section
Special Thematic Issue "Eye Tracking and Visualization"