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Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics

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Virtual, Augmented and Mixed Reality (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12770))

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Abstract

We present an investigation using mixed reality technology to visualize decision-making dynamics for a Friendly vs Hostile wargame in a Multi-Domain Operation environment. The requirement of penetrate and dis-integrate phases under Multi-Domain Operations aligns well with the advantages of Artificial Intelligence/Machine Learning because of 1) very short planning timeframe for decision-making, 2) simultaneous planning requirement for multiple operations, and 3) interdependence of operations. In our decision dynamics research, we propose to advance the art/science for wargaming by leveraging brain science to extend the use of Artificial Intelligence/Machine Learning algorithms and the use of mixed reality technology to visualize complex battlespace scenarios requiring a better understand of the dynamics in a complex decision making process.

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Authors and Affiliations

  1. DEVCOM Army Research Laboratory, Adelphi, MD, 20783, USA

    Simon Su, Sue Kase, Chou Hung, J. Zach Hare & B. Christopher Rinderspacher

  2. DEVCOM Soldier Center, Orlando, FL, 32826, USA

    Charles Amburn

Authors
  1. Simon Su
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  2. Sue Kase
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  3. Chou Hung
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  4. J. Zach Hare
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  5. B. Christopher Rinderspacher
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  6. Charles Amburn
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Corresponding author

Correspondence to Simon Su .

Editor information

Editors and Affiliations

  1. U.S. Army Research Laboratory, Aberdeen Proving Ground, MD, USA

    Jessie Y. C. Chen

  2. U.S. Army Combat Capabilities Development Command Soldier Center, Orlando, FL, USA

    Gino Fragomeni

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© 2021 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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Su, S., Kase, S., Hung, C., Hare, J.Z., Rinderspacher, B.C., Amburn, C. (2021). Mixed Reality Visualization of Friendly vs Hostile Decision Dynamics. In: Chen, J.Y.C., Fragomeni, G. (eds) Virtual, Augmented and Mixed Reality. HCII 2021. Lecture Notes in Computer Science(), vol 12770. Springer, Cham. https://doi.org/10.1007/978-3-030-77599-5_37

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  • DOI: https://doi.org/10.1007/978-3-030-77599-5_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77598-8

  • Online ISBN: 978-3-030-77599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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