Evaluation of an Immersive Covid-19 Data Visualization
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Date
2023
Authors
Kaya, Furkan
Celik, Elif
Batmaz, Anil Ufuk K.
Mutasim, Aunnoy K.
Stuerzlinger, Wolfgang
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Soc
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
COVID-19 restrictions have detrimental effects on the population, both socially and economically. However, these restrictions are necessary as they help reduce the spread of the virus. For the public to comply, easily comprehensible communication between decision makers and the public is thus crucial. To address this, we propose a novel 3-D visualization of COVID-19 data, which could increase the awareness of COVID-19 trends in the general population. We conducted a user study and compared a conventional 2-D visualization with the proposed method in an immersive environment. Results showed that the our 3-D visualization approach facilitated understanding of the complexity of COVID-19. A majority of participants preferred to see the COVID-19 data with the 3-D method. Moreover, individual results revealed that our method increases the engagement of users with the data. We hope that our method will help governments to improve their communication with the public in the future.
Description
Keywords
COVID-19, Computer viruses, Social factors, Government, Data visualization, Market research, Complexity theory, Market research, Computer viruses, Social factors, Data visualization, Government, Complexity theory, Data Visualization, Communication, Humans, COVID-19
Turkish CoHE Thesis Center URL
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
2
Source
Ieee Computer Graphics and Applications
Volume
43
Issue
1
Start Page
76
End Page
83
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Citations
CrossRef : 1
Scopus : 5
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Mendeley Readers : 4
SCOPUS™ Citations
5
checked on Feb 03, 2026
Web of Science™ Citations
4
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Page Views
1
checked on Feb 03, 2026
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OpenAlex FWCI
0.9098417
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