CoVR: Co-located Virtual Reality Experience Sharing for Facilitating Joint Attention via Projected View of HMD Users

Ikuo Kamei, Changyo Han, Takefumi Hiraki, Shogo Fukushima, Takeshi Naemura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Sharing virtual reality (VR) experiences between users wearing head-mounted displays (HMD users) and users not wearing HMDs (Non-HMD users) is a promising approach that can help bridge the gap between these users' experiences. In previous studies, the role of these users and the differences in their attention targets were not considered, causing a lack of joint attention in user communication. Also, previous systems required cumbersome installation in the spaces in which VR was being experienced. Therefore, this paper proposes "CoVR,"a co-located VR sharing system comprising an HMD with a focus-free projector and projecting the perspective of HMD users. Further, we introduce a design methodology for controlling the perspective of the images displayed to the HMD and Non-HMD users. We also discuss three application scenarios where additional information provided are different for each user.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2020 Emerging Technologies, SA 2020
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450381109
DOIs
Publication statusPublished - Dec 4 2020
Externally publishedYes
EventSIGGRAPH Asia 2020 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SA 2020 - Virtual, Online, Korea, Republic of
Duration: Dec 4 2020Dec 13 2020

Publication series

NameSIGGRAPH Asia 2020 Emerging Technologies, SA 2020

Conference

ConferenceSIGGRAPH Asia 2020 Emerging Technologies - International Conference on Computer Graphics and Interactive Techniques, SA 2020
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period12/4/2012/13/20

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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