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Snow Dome: A Multi-Scale Interaction in Mixed Reality Remote Collaboration

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Published:20 April 2018Publication History

ABSTRACT

We present Snow Dome, a Mixed Reality (MR) remote collaboration application that supports a multi-scale interaction for a Virtual Reality (VR) user. We share a local Augmented Reality (AR) user's reconstructed space with a remote VR user who has an ability to scale themselves up into a giant or down into a miniature for different perspectives and interaction at that scale within the shared space.

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References

  1. Mark Billinghurst, Hirokazu Kato and Ivan Poupyrev. 2001. The MagicBook: a transitional AR interface. Computers & Graphics, 25 (5). 745--753.Google ScholarGoogle ScholarCross RefCross Ref
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  4. Thammathip Piumsomboon, Arindam Day, Barrett Ens, Youngho Lee, Gun Lee and Mark Billinghurst. 2017. Exploring enhancements for remote mixed reality collaboration SIGGRAPH Asia 2017 Mobile Graphics & Interactive Applications, ACM, Bangkok, Thailand, 1--5. Google ScholarGoogle ScholarDigital LibraryDigital Library
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  6. Simon Prince, Adrian David Cheok, Farzam Farbiz, Todd Williamson, Nik Johnson, Mark Billinghurst and Hirokazu Kato. 2002. 3-D live: real time interaction for mixed reality Proceedings of the 2002 ACM conference on Computer supported cooperative work, ACM, New Orleans, Louisiana, USA, 364--371. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Aaron Stafford, Wayne Piekarski and Bruce H. Thomas. 2006. Implementation of god-like interaction techniques for supporting collaboration between outdoor AR and indoor tabletop users. in 2006 IEEE/ACM International Symposium on Mixed and Augmented Reality, 165--172. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Snow Dome: A Multi-Scale Interaction in Mixed Reality Remote Collaboration

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    • Published in

      cover image ACM Conferences
      CHI EA '18: Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
      April 2018
      3155 pages
      ISBN:9781450356213
      DOI:10.1145/3170427

      Copyright © 2018 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 20 April 2018

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      CHI EA '18 Paper Acceptance Rate1,208of3,955submissions,31%Overall Acceptance Rate6,164of23,696submissions,26%

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      May 11 - 16, 2024
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