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Title: Real-Time Data Analytics of COVID Pandemic Using Virtual Reality
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.
Authors:
; ;
Editors:
Chen, J.Y.C.; Fragomeni, G
Award ID(s):
2026412 2032344 1923986
Publication Date:
NSF-PAR ID:
10286142
Journal Name:
Lecture notes in computer science
Volume:
12770
ISSN:
0302-9743
Sponsoring Org:
National Science Foundation
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