MazeRunVR: An open benchmark for VR locomotion performance, preference and sickness in the wild

Kirill Ragozin, Kai Kunze, Karola Marky, Yun Suen Pai

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Locomotion in virtual reality (VR) is one of the biggest problems for large scale adoption of VR applications. Yet, to our knowledge, there are few studies conducted in-the-wild to understand performance metrics and general user preference for different mechanics. In this paper, we present the first steps towards an open framework to create a VR locomotion benchmark. As a viability study, we investigate how well the users move in VR when using three different locomotion mechanics. It was played in over 124 sessions across 10 countries in a period of three weeks. The included prototype locomotion mechanics are arm swing,walk-in-place and trackpad movement. We found that over-all, users performed significantly faster using arm swing and trackpad when compared to walk-in-place. For subjective preference, arm swing was significantly more preferred over the other two methods. Finally for induced sickness, walk-in-place was the overall most sickness-inducing locomotion method.

本文言語English
ホスト出版物のタイトルCHI EA 2020 - Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems
出版社Association for Computing Machinery
ISBN(電子版)9781450368193
DOI
出版ステータスPublished - 2020 4 25
イベント2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020 - Honolulu, United States
継続期間: 2020 4 252020 4 30

出版物シリーズ

名前Conference on Human Factors in Computing Systems - Proceedings

Conference

Conference2020 ACM CHI Conference on Human Factors in Computing Systems, CHI EA 2020
CountryUnited States
CityHonolulu
Period20/4/2520/4/30

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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