Evaluation of an Immersive Covid-19 Data Visualization

dc.authorid Batmaz, Anil Ufuk/0000-0001-7948-8093
dc.authorid Stuerzlinger, Wolfgang/0000-0002-7110-5024
dc.authorid Mutasim, Aunnoy K/0000-0002-5321-7292
dc.authorwosid Batmaz, Anil Ufuk/ABE-7803-2021
dc.contributor.author Kaya, Furkan
dc.contributor.author Batmaz, Anıl Ufuk
dc.contributor.author Celik, Elif
dc.contributor.author Batmaz, Anil Ufuk K.
dc.contributor.author Mutasim, Aunnoy K.
dc.contributor.author Stuerzlinger, Wolfgang
dc.contributor.other Mechatronics Engineering
dc.date.accessioned 2023-10-19T15:11:52Z
dc.date.available 2023-10-19T15:11:52Z
dc.date.issued 2023
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, Canada en_US
dc.description.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. en_US
dc.identifier.citationcount 1
dc.identifier.doi 10.1109/MCG.2022.3223535 en_US
dc.identifier.endpage 83 en_US
dc.identifier.issn 0272-1716
dc.identifier.issn 1558-1756
dc.identifier.issue 1 en_US
dc.identifier.pmid 37022363 en_US
dc.identifier.scopus 2-s2.0-85148330006 en_US
dc.identifier.scopusquality Q3
dc.identifier.startpage 76 en_US
dc.identifier.uri https://doi.org/10.1109/MCG.2022.3223535
dc.identifier.uri https://hdl.handle.net/20.500.12469/5261
dc.identifier.volume 43 en_US
dc.identifier.wos WOS:000930564600009 en_US
dc.identifier.wosquality Q2
dc.khas 20231019-WoS en_US
dc.language.iso en en_US
dc.publisher IEEE Computer Soc en_US
dc.relation.ispartof Ieee Computer Graphics and Applications en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 3
dc.subject COVID-19 en_US
dc.subject Computer viruses en_US
dc.subject Social factors en_US
dc.subject Government en_US
dc.subject Data visualization en_US
dc.subject Market research en_US
dc.subject Complexity theory en_US
dc.title Evaluation of an Immersive Covid-19 Data Visualization en_US
dc.type Article en_US
dc.wos.citedbyCount 1
dspace.entity.type Publication
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