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 limitation...
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-09-01
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| Series: | Journal of Eye Movement Research |
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| Online Access: | https://bop.unibe.ch/JEMR/article/view/3729 |
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| author | Thorsten Roth Martin Weier André Hinkenjann Yongmin Li Philipp Slusallek |
| author_facet | Thorsten Roth Martin Weier André Hinkenjann Yongmin Li Philipp Slusallek |
| author_sort | Thorsten Roth |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2f21b2861db34c19a9f62dbb01f61cfd |
| institution | DOAJ |
| issn | 1995-8692 |
| language | English |
| publishDate | 2017-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Eye Movement Research |
| spelling | doaj-art-2f21b2861db34c19a9f62dbb01f61cfd2025-08-20T03:04:08ZengMDPI AGJournal of Eye Movement Research1995-86922017-09-0110510.16910/jemr.10.5.2A Quality-Centered Analysis of Eye Tracking Data in Foveated RenderingThorsten Roth0Martin Weier1André Hinkenjann2Yongmin Li3Philipp Slusallek4Bonn-Rhein-Sieg University of Applied Sciences Brunel University LondonBonn-Rhein-Sieg University of Applied Sciences Saarland UniversityBonn-Rhein-Sieg University of Applied SciencesBrunel University LondonSaarland University Intel Visual Computing University German Research Centre for Artificial Intelligence (DFKI)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.https://bop.unibe.ch/JEMR/article/view/3729RenderingRay tracingdata analysisperceived qualityeye trackingfoveated rendering |
| spellingShingle | Thorsten Roth Martin Weier André Hinkenjann Yongmin Li Philipp Slusallek A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering Journal of Eye Movement Research Rendering Ray tracing data analysis perceived quality eye tracking foveated rendering |
| title | A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering |
| title_full | A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering |
| title_fullStr | A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering |
| title_full_unstemmed | A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering |
| title_short | A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering |
| title_sort | quality centered analysis of eye tracking data in foveated rendering |
| topic | Rendering Ray tracing data analysis perceived quality eye tracking foveated rendering |
| url | https://bop.unibe.ch/JEMR/article/view/3729 |
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