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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Thorsten Roth (Author), Martin Weier (Author), André Hinkenjann (Author), Yongmin Li (Author), Philipp Slusallek (Author)
Format: Book
Published: Bern Open Publishing, 2017-09-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_2f21b2861db34c19a9f62dbb01f61cfd
042 |a dc 
100 1 0 |a Thorsten Roth  |e author 
700 1 0 |a Martin Weier  |e author 
700 1 0 |a André Hinkenjann  |e author 
700 1 0 |a Yongmin Li  |e author 
700 1 0 |a Philipp Slusallek  |e author 
245 0 0 |a A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering 
260 |b Bern Open Publishing,   |c 2017-09-01T00:00:00Z. 
500 |a 10.16910/jemr.10.5.2 
500 |a 1995-8692 
520 |a 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. 
546 |a EN 
690 |a Rendering 
690 |a Ray tracing 
690 |a data analysis 
690 |a perceived quality 
690 |a eye tracking 
690 |a foveated rendering 
690 |a Human anatomy 
690 |a QM1-695 
655 7 |a article  |2 local 
786 0 |n Journal of Eye Movement Research, Vol 10, Iss 5 (2017) 
787 0 |n https://bop.unibe.ch/JEMR/article/view/3729 
787 0 |n https://doaj.org/toc/1995-8692 
856 4 1 |u https://doaj.org/article/2f21b2861db34c19a9f62dbb01f61cfd  |z Connect to this object online.