ExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Making

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dc.contributor.authorOyshi, Marzan Tasnimen_US
dc.contributor.authorSchober, Dannyen_US
dc.contributor.authorBurkhardt, Juliette-Michelleen_US
dc.contributor.authorMaleska, Verenaen_US
dc.contributor.authorAuguszt, Tillmannen_US
dc.contributor.authorLanghans, Linusen_US
dc.contributor.authorFuchs, Richard Karlen_US
dc.contributor.authorGumhold, Stefanen_US
dc.contributor.editorDutta, Soumyaen_US
dc.contributor.editorFeige, Kathrinen_US
dc.contributor.editorRink, Karstenen_US
dc.contributor.editorNsonga, Baldwinen_US
dc.date.accessioned2024-05-21T08:26:59Z
dc.date.available2024-05-21T08:26:59Z
dc.date.issued2024
dc.description.abstractThe occurrence and severity of extreme weather events are changing due to the impact of climate change, resulting in significant hazards to human lives and critical infrastructure. While data are abundant on the consequences of these extreme weather events, it is often challenging to communicate this data to the appropriate people in a way that resonates. In this paper, we present ExtremeWeatherVis to immersively visualize extreme weather events for multiple cities in Virtual Reality allowing user interaction with the temporal evaluation of specific events in day and night cycles from different viewpoints. The current visualization allows users to visualize potential heavy rainfall resulting in pluvial floods and heatwaves for Dresden, Bautzen, and New York. We conducted a user study, followed by a longitudinal study, to explore the effectiveness of our method in supporting decision-making by capturing participants' emotions. The emotional aspects of participants were assessed using three distinct AI models to investigate whether our method supports decision-making by enabling a sense of presence while capturing the emotions of the participants.en_US
dc.description.sectionheadersPapers
dc.description.seriesinformationWorkshop on Visualisation in Environmental Sciences (EnvirVis)
dc.identifier.doi10.2312/envirvis.20241137
dc.identifier.isbn978-3-03868-260-8
dc.identifier.pages9 pages
dc.identifier.urihttps://doi.org/10.2312/envirvis.20241137
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/envirvis20241137
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Visualization-Immersive, Extreme Weather Events
dc.subjectI.3.3 [Computer Graphics]
dc.subjectVisualization
dc.subjectImmersive
dc.subjectExtreme Weather Events
dc.titleExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Makingen_US
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