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Evaluation of Collaborative Actions to Inform Design of a Remote Interactive Collaboration Framework for Immersive Data Visualizations

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Advances in Visual Computing (ISVC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10072))

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Abstract

Data visualization and interaction is an important part of understanding and analyzing complex data. Immersive display systems provide benefits to exploration. In this paper, we present a user study to analyze co-located tasks and behaviors during a collaboration task. Results from this study helped us to identify patterns in co-located collaborative interaction to be able to better design remote collaborative environments. We discuss the challenges while interacting with data in an immersive data visualization environment and our design of a remote interactive collaboration framework for analysis and workflow of data visualizations. The goal of this framework is to preserve the benefits of physically co-located collaboration actions and add the benefits of virtual components that do not conform to real world restrictions.

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Acknowledgements

We thank the Idaho National Laboratory for funding and use of equipment for conducting the experiment. We also thank all participants who contributed this study.

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Authors and Affiliations

  1. University of Wyoming, Laramie, USA

    Rajiv Khadka & Nikhil Shetty

  2. Idaho National Laboratory, Idaho Falls, USA

    Eric T. Whiting & Amy Banic

Authors
  1. Rajiv Khadka
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  2. Nikhil Shetty
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  3. Eric T. Whiting
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  4. Amy Banic
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Corresponding author

Correspondence to Rajiv Khadka .

Editor information

Editors and Affiliations

  1. University of Nevada , Reno, Nevada, USA

    George Bebis

  2. NASA Ames Research Center , Moffett Field, California, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory , Berkeley, California, USA

    Bahram Parvin

  4. Desert Research Institute , Reno, Nevada, USA

    Darko Koracin

  5. The Australian National University , O'Malley, Aust Capital Terr, Australia

    Fatih Porikli

  6. Pilot AI Labs , Redwood City, California, USA

    Sandra Skaff

  7. University of Florida , Gainesville, Florida, USA

    Alireza Entezari

  8. Google Inc. , Mountain View, California, USA

    Jianyuan Min

  9. Osaka University , Osaka, Japan

    Daisuke Iwai

  10. The MOVES Institute , Monterey, California, USA

    Amela Sadagic

  11. University of Arizona , Tucson, Arizona, USA

    Carlos Scheidegger

  12. Université Paris-Sud , Orsay, France

    Tobias Isenberg

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Khadka, R., Shetty, N., Whiting, E.T., Banic, A. (2016). Evaluation of Collaborative Actions to Inform Design of a Remote Interactive Collaboration Framework for Immersive Data Visualizations. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2016. Lecture Notes in Computer Science(), vol 10072. Springer, Cham. https://doi.org/10.1007/978-3-319-50835-1_43

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  • DOI: https://doi.org/10.1007/978-3-319-50835-1_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50834-4

  • Online ISBN: 978-3-319-50835-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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