Living Lab Lecture No. 22: Immersive Analysis of Trajectories Utilizing the Unreal Engine

In her lecture, Franziska Kahlert highlights the potential of using game engines to create scientific visualizations. Specifically, she focuses on the goals and challenges of creating immersive visualizations using virtual reality technology, using the example of trajectory analysis. Kahlert argues that virtual reality environments offer unique opportunities for scientists to explore and analyze complex data sets in new ways, but also pose significant technical and design challenges.

To address these challenges, Kahlert suggests that scientists consider using the Unreal game engine, which is freely available and offers a range of tools and features for prototyping and developing immersive visualizations. By leveraging the power of game engines, scientists can create more engaging and interactive visualizations that allow them to better understand and communicate complex scientific concepts. Overall, Kahlert’s lecture highlights the importance of exploring new technologies and tools for scientific visualization, and offers practical advice for scientists looking to incorporate immersive visualizations into their research.