Oyshi, Marzan TasnimSchober, DannyBurkhardt, Juliette-MichelleMaleska, VerenaAuguszt, TillmannLanghans, LinusFuchs, Richard KarlGumhold, StefanDutta, SoumyaFeige, KathrinRink, KarstenNsonga, Baldwin2024-05-212024-05-212024978-3-03868-260-8https://doi.org/10.2312/envirvis.20241137https://diglib.eg.org/handle/10.2312/envirvis20241137The 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.Attribution 4.0 International LicenseCategories and Subject Descriptors (according to ACM CCS): I.3.3 [Computer Graphics]: Visualization-Immersive, Extreme Weather EventsI.3.3 [Computer Graphics]VisualizationImmersiveExtreme Weather Events10.2312/envirvis.202411379 pages