Title
Remote and Collaborative Virtual Reality Experiments via Social VR Platforms
Abstract
ABSTRACT Virtual reality (VR) researchers struggle to conduct remote studies. Previous work has focused on working around limitations imposed by traditional crowdsourcing methods. However, the potential for leveraging social VR platforms for HCI evaluations is largely unexplored. These platforms have large VR-ready user populations, distributed synchronous virtual environments, and support for user-generated content. We demonstrate how social VR platforms can be used to practically and ethically produce valid research results by replicating two studies using one such platform (VRChat): a quantitative study on Fitts’ Law and a qualitative study on tabletop collaboration. Our replication studies exhibited analogous results to the originals, indicating the research validity of this approach. Moreover, we easily recruited experienced VR users with their own hardware for synchronous, remote, and collaborative participation. We further provide lessons learned for future researchers experimenting using social VR platforms. This paper and all supplemental materials are available at osf.io/c2amz.
Year
DOI
Venue
2021
10.1145/3411764.3445426
Conference on Human Factors in Computing Systems
DocType
Citations 
PageRank 
Conference
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
David Saffo182.46
Sara Di Bartolomeo242.07
Caglar Yildirim3114.74
Cody Dunne443727.88