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    Real-time Visual Representations for Mixed Reality Remote Collaboration

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    Date
    2017
    Author
    Gao, Lei
    Bai, Huidong
    Piumsomboon, Thammathip
    Lee, Gun A. ORCID
    Lindeman, Robert W. ORCID
    Billinghurst, Mark ORCID
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    Abstract
    We present a prototype Mixed Reality (MR) system with a hybrid interface to support remote collaboration between a local worker and a remote expert in a large-scale work space. By combining a low-resolution 3D point-cloud of the environment surrounding the local worker with a high-resolution real-time view of small focused details, the remote expert can see a virtual copy of the local workspace with an independent viewpoint control. Meanwhile, the export can also check the current actions of the local worker through a real-time feedback view. We conducted a pilot study to evaluate the usability of our system by comparing the performance of three different interface designs (showing the real-time view in forms of 2D first-person view, a 2D third-person view and a 3D point cloud view). We found no difference in average task performance time between the three interfaces, but there was a difference in user preference.
    BibTeX
    @inproceedings {10.2312:egve.20171344,
    booktitle = {ICAT-EGVE 2017 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments},
    editor = {Robert W. Lindeman and Gerd Bruder and Daisuke Iwai},
    title = {{Real-time Visual Representations for Mixed Reality Remote Collaboration}},
    author = {Gao, Lei and Bai, Huidong and Piumsomboon, Thammathip and Lee, Gun A. and Lindeman, Robert W. and Billinghurst, Mark},
    year = {2017},
    publisher = {The Eurographics Association},
    ISSN = {1727-530X},
    ISBN = {978-3-03868-038-3},
    DOI = {10.2312/egve.20171344}
    }
    URI
    http://dx.doi.org/10.2312/egve.20171344
    https://diglib.eg.org:443/handle/10.2312/egve20171344
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
    TUGFhA