Evaluation of an Immersive Covid-19 Data Visualization

dc.contributor.author Kaya, Furkan
dc.contributor.author Celik, Elif
dc.contributor.author Batmaz, Anil Ufuk K.
dc.contributor.author Mutasim, Aunnoy K.
dc.contributor.author Stuerzlinger, Wolfgang
dc.date.accessioned 2023-10-19T15:11:52Z
dc.date.available 2023-10-19T15:11:52Z
dc.date.issued 2023
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.issn 0272-1716
dc.identifier.issn 1558-1756
dc.identifier.scopus 2-s2.0-85148330006 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.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.rights info:eu-repo/semantics/closedAccess en_US
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
dspace.entity.type Publication
gdc.author.id Batmaz, Anil Ufuk/0000-0001-7948-8093
gdc.author.id Stuerzlinger, Wolfgang/0000-0002-7110-5024
gdc.author.id Mutasim, Aunnoy K/0000-0002-5321-7292
gdc.author.institutional Batmaz, Anıl Ufuk
gdc.author.wosid Batmaz, Anil Ufuk/ABE-7803-2021
gdc.bip.impulseclass C5
gdc.bip.influenceclass C5
gdc.bip.popularityclass C5
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
gdc.description.departmenttemp [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
gdc.description.endpage 83 en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 76 en_US
gdc.description.volume 43 en_US
gdc.description.wosquality Q2
gdc.identifier.openalex W4318953604
gdc.identifier.pmid 37022363 en_US
gdc.identifier.wos WOS:000930564600009 en_US
gdc.oaire.diamondjournal false
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gdc.oaire.keywords Market research
gdc.oaire.keywords Computer viruses
gdc.oaire.keywords Social factors
gdc.oaire.keywords Data visualization
gdc.oaire.keywords Government
gdc.oaire.keywords Complexity theory
gdc.oaire.keywords Data Visualization
gdc.oaire.keywords Communication
gdc.oaire.keywords Humans
gdc.oaire.keywords COVID-19
gdc.oaire.popularity 3.473217E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.openalex.fwci 0.511
gdc.openalex.normalizedpercentile 0.69
gdc.opencitations.count 2
gdc.plumx.crossrefcites 1
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