Evaluation of an Immersive COVID-19 Data Visualization

dc.authoridBatmaz, Anil Ufuk/0000-0001-7948-8093
dc.authoridStuerzlinger, Wolfgang/0000-0002-7110-5024
dc.authoridMutasim, Aunnoy K/0000-0002-5321-7292
dc.authorwosidBatmaz, Anil Ufuk/ABE-7803-2021
dc.contributor.authorBatmaz, Anıl Ufuk
dc.contributor.authorCelik, Elif
dc.contributor.authorBatmaz, Anil Ufuk K.
dc.contributor.authorMutasim, Aunnoy K.
dc.contributor.authorStuerzlinger, Wolfgang
dc.date.accessioned2023-10-19T15:11:52Z
dc.date.available2023-10-19T15:11:52Z
dc.date.issued2023
dc.department-temp[Kaya, Furkan; Celik, Elif] Kadir Has Univ, TR-34083 Istanbul, Turkiye; [Batmaz, Anil Ufuk K.] Concordia Univ, Montreal, PQ H3G1M8, Canada; [Mutasim, Aunnoy K.; Stuerzlinger, Wolfgang] Simon Fraser Univ, Burnaby, BC V5A1S6, Canadaen_US
dc.description.abstractCOVID-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.en_US
dc.identifier.citation1
dc.identifier.doi10.1109/MCG.2022.3223535en_US
dc.identifier.endpage83en_US
dc.identifier.issn0272-1716
dc.identifier.issn1558-1756
dc.identifier.issue1en_US
dc.identifier.pmid37022363en_US
dc.identifier.scopus2-s2.0-85148330006en_US
dc.identifier.scopusqualityQ3
dc.identifier.startpage76en_US
dc.identifier.urihttps://doi.org/10.1109/MCG.2022.3223535
dc.identifier.urihttps://hdl.handle.net/20.500.12469/5261
dc.identifier.volume43en_US
dc.identifier.wosWOS:000930564600009en_US
dc.identifier.wosqualityQ2
dc.khas20231019-WoSen_US
dc.language.isoenen_US
dc.publisherIEEE Computer Socen_US
dc.relation.ispartofIeee Computer Graphics and Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCOVID-19en_US
dc.subjectComputer virusesen_US
dc.subjectSocial factorsen_US
dc.subjectGovernmenten_US
dc.subjectData visualizationen_US
dc.subjectMarket researchen_US
dc.subjectComplexity theoryen_US
dc.titleEvaluation of an Immersive COVID-19 Data Visualizationen_US
dc.typeArticleen_US
dspace.entity.typePublication
relation.isAuthorOfPublicationb12eff7e-174d-4ce0-839b-71d7ea11e4f5
relation.isAuthorOfPublication.latestForDiscoveryb12eff7e-174d-4ce0-839b-71d7ea11e4f5

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