User-centric classification of virtual reality locomotion
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PubDate: November 2018
Teams: University of Washington Bothell
Writers: Jeremy Albert；Kelvin Sung
PDF: User-centric classification of virtual reality locomotion
Abstract
Traveling in a virtual world, while confined in the real world requires a virtual reality locomotion (VRL) method. VRL remains an issue because of three fundamental challenges, sickness, presence, and fatigue. We propose a User-Centric Classification (UCC) of VRL methods based on a method’s ability to address these challenges. UCC provides a framework to discuss and compare different VRL methods and to examine performance trade-offs. We designed and implemented a testbed to study several VRL methods, and initial results demonstrated the effectiveness of the UCC framework [1].
