Enhanced Depth Discrimination Using Dynamic Stereoscopic 3D Parameters
Keywords
Dynamic stereo parameters; Head tracking; Stereoscopic 3D; User experience; User study; Visual fatigue
Abstract
Most modern stereoscopic 3D applications (e.g. video games) use optimal (but fixed) stereoscopic 3D parameters (separation and convergence) to render the scene on a 3D display. However, keeping these parameters fixed does not provide the best possible experience since it can reduce depth discrimination. We present two scenarios where the depth discrimination could be enhanced using dynamic adjustments to the separation and the convergence parameters based on the user's look direction obtained from head tracking data. Copyright is held by the author/owner(s).
Publication Date
4-18-2015
Publication Title
Conference on Human Factors in Computing Systems - Proceedings
Volume
18
Number of Pages
1615-1620
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1145/2702613.2732714
Copyright Status
Unknown
Socpus ID
84954288069 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84954288069
STARS Citation
Kulshreshth, Arun and LaViola, Joseph J., "Enhanced Depth Discrimination Using Dynamic Stereoscopic 3D Parameters" (2015). Scopus Export 2015-2019. 1831.
https://stars.library.ucf.edu/scopus2015/1831