[DC] XR Visualizations for Exploring 3D Dynamics

Dynamic 3D information is all around us in everyday life. When digitized, dynamic 3D data find extensive application in domains such as education, archaeology, immersive journalism, VR therapy, and art. For example, analyzing 3D human motions and movements can offer valuable insights into human behavior and movement patterns. With the growing affordability of tracking and capturing devices, acquiring 3D data has become more and more accessible. At the same time, recent advances in VR and AR headsets make it possible for users to immerse themselves in the computer-generated virtual environment (VE), which is perfectly suited for exploring captured complex dynamic 3D datasets due to their inherent complexity and three-dimensional nature. However, since mixed reality technology is just emerging, current systems are not yet fully prepared to harness all its benefits for comprehensive dynamic 3D data exploration. In my dissertation project, I aim to explore the creative potential of XR visualizations for exploring complex dynamic 3D datasets. My dissertation aims to enrich XR visualization designs and interactive prototypes to better support 3D data exploration tasks in mixed reality.