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Evaluating Factors Affecting Virtual Reality Display
- Source :
- Lecture Notes in Computer Science ISBN: 9783319579863, HCI (10)
- Publication Year :
- 2017
- Publisher :
- Springer International Publishing, 2017.
-
Abstract
- Head Mounted Displays (HMDs) anecdotally exhibit a higher rate of cybersickness, motion-sickness like symptoms due to visual stimuli, than virtual reality systems that employ large screens. Yet, there have been relatively few multi-display studies, and frequently factors other than the display varied between conditions. We controlled for these additional factors in three experiments which considered HMDs weight, perceived screen size, and rendering mode. The HMD weight experiment had no effect on cybersickness, with p < 0.88. This is of benefit to HMD developers as it signifies that additional weight in the hardware is not cause for concern. While screen size and field of view (FOV) are often used interchangeably, the FOV has a strong effect independent of screen size. The perceived screen size experiment had no effect on cybersickness, with p < 0.66. This benefits cybersickness researchers, as it signifies that the results from monitor experiments can be compared directly with the results from large screen experiments, assuming the remaining factors are held constant. The rendering experiment, with stereo and mono rendering, had no effect on cybersickness, with p = 0.22. Since the HMD weight and screen size experiments used the same FOV, application, and navigation paradigm, they were compared for possible effects. Initially, we found a significant effect on cybersickness. After normalizing using the average change when a part of the real world is seen, such as in large screens, there is no longer a statistical difference (p < 0.77).
- Subjects :
- Visual perception
Computer science
business.industry
05 social sciences
Statistical difference
020207 software engineering
02 engineering and technology
Virtual reality
Large screen
Rendering (computer graphics)
Display size
Computer graphics (images)
0202 electrical engineering, electronic engineering, information engineering
0501 psychology and cognitive sciences
Computer vision
Artificial intelligence
business
050107 human factors
Subjects
Details
- ISBN :
- 978-3-319-57986-3
- ISBNs :
- 9783319579863
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783319579863, HCI (10)
- Accession number :
- edsair.doi...........88f884f23bbcdeb34b9b72530f904572
- Full Text :
- https://doi.org/10.1007/978-3-319-57987-0_44