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International Symposium on Visual Computing

ISVC 2019: Advances in Visual Computing pp 117–128Cite as

Designing VR and AR Systems with Large Scale Adoption in Mind

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11845))

Abstract

Large scale adoption of novel solutions is the ultimate goal in many domains, and numerous factors need to be addressed to reach that success. This process is even more challenging when those systems are intended for human operators. Not only the technical performance of the system needs to be of the desired quality, but a range of other characteristics also gets scrutinized as well. The design and development of learning and training solutions will be encumbered by additional factors characteristic of learning and training processes. Current adoption of learning and training solutions is far from the desired state: the extent to which learning and training solutions became an every-day practice of their intended users is still much lower than the investment made in this domain. Our research suggests that a good part of that blame can be laid on elements of system design that did not match users’ needs, skills, and expectations. In this paper, we report the results and lessons learned in multiple efforts focused on design and prototyping of a diverse set of training systems that used both immersive and non-immersive virtual reality technologies and a variety of 3D user interface solutions. Approaches discussed and suggested in this paper are equally applicable to the design of systems intended for other human activities in both civilian and military domains.

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Author information

Authors and Affiliations

  1. Naval Postgraduate School, Monterey, CA, USA

    Amela Sadagic

  2. United States Marine Corps, Washington, DC, USA

    Jesse Attig, John Gibson, Nicholas Arthur, Floy Yates & Cody Tackett

  3. Pakistan Air Force, Islamabad, Pakistan

    Faisal Rashid

Authors
  1. Amela Sadagic
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  2. Jesse Attig
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  3. John Gibson
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  4. Faisal Rashid
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  5. Nicholas Arthur
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  6. Floy Yates
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  7. Cody Tackett
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Corresponding author

Correspondence to Amela Sadagic .

Editor information

Editors and Affiliations

  1. University of Nevada, Reno, NV, USA

    George Bebis

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

    Richard Boyle

  3. University of Nevada, Reno, NV, USA

    Bahram Parvin

  4. Desert Research Institute, Reno, NV, USA

    Darko Koracin

  5. Lawrence Berkeley National Laboratory, Berkeley, CA, USA

    Daniela Ushizima

  6. Latent AI, Palo Alto, CA, USA

    Sek Chai

  7. Texas A&M University, College Station, TX, USA

    Shinjiro Sueda

  8. Louisiana State University, Baton Rouge, LA, USA

    Xin Lin

  9. University of North Carolina at Charlotte, Charlotte, NC, USA

    Aidong Lu

  10. École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland

    Daniel Thalmann

  11. Notre Dame University, Notre Dame, IN, USA

    Chaoli Wang

  12. Bosch Research North America, Palo Alto, CA, USA

    Panpan Xu

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© 2019 This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply

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Cite this paper

Sadagic, A. et al. (2019). Designing VR and AR Systems with Large Scale Adoption in Mind. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2019. Lecture Notes in Computer Science(), vol 11845. Springer, Cham. https://doi.org/10.1007/978-3-030-33723-0_10

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  • DOI: https://doi.org/10.1007/978-3-030-33723-0_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-33722-3

  • Online ISBN: 978-3-030-33723-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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