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International Conference on Human-Computer Interaction

HCII 2021: Virtual, Augmented and Mixed Reality pp 106–116Cite as

Real-Time Data Analytics of COVID Pandemic Using Virtual Reality

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

Abstract

Visualizing data effectively is critical for the discovery process in the age of big data. We are exploring the use of immersive virtual reality platforms for scientific data visualization for COVID-19 pandemic. We are interested in finding ways to better understand, perceive and interact with multidimensional data in the field of cognition technology and human-computer interaction. Immersive visualization leads to a better understanding and perception of relationships in the data. This paper presents a data visualization tool for immersive data visualizations based on the Unity development platform. The data visualization tool is capable of visualizing the real-time COVID pandemic data for the fifty states in the USA. Immersion provides a better understanding of the data than traditional desktop visualization tools and leads to more human-centric situational awareness insights. This research effort aims to identify how graphical objects like charts and bar graphs depicted in Virtual Reality tools, developed in accordance with an analyst’s mental model can enhance an analyst’s situation awareness. Our results also suggest that users feel more satisfied when using immersive virtual reality data visualization tools and thus demonstrate the potential of immersive data analytics.

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Acknowledgments

This work is funded in part by the NSF award #1923986, NSF Award number 2032344, and NSF Award Number: 2026412.

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Authors and Affiliations

  1. Department of Computer Science, Bowie State University, Bowie, MD, USA

    Sharad Sharma, Sri Teja Bodempudi & Aishwarya Reehl

Authors
  1. Sharad Sharma
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  2. Sri Teja Bodempudi
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  3. Aishwarya Reehl
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Corresponding author

Correspondence to Sharad Sharma .

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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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Sharma, S., Bodempudi, S.T., Reehl, A. (2021). Real-Time Data Analytics of COVID Pandemic Using Virtual Reality. 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_9

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  • DOI: https://doi.org/10.1007/978-3-030-77599-5_9

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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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