Virtual Reality-Based Multi-View Visualization of Time-Dependent Simulation Data

Abstract

The analysis of time-dependent simulation data is a demanding task, both in terms of computing power and time. Interactive analysis using multiple linked views has been shown to be one possible solution to this problem. However, there are two significant shortcomings when limited to a standard desktop-based setup: First, complex spatial relationships are hard to understand using only 2D projections of the data. Second, the size of today's simulation runs is too large to be handled even by powerful workstations. We describe a system for the interactive analysis of large, time-dependent data in virtual environments. Based on the techniques of multiple linked views and brushing, our approach allows the user to quickly formulate, visualize and assess hypotheses about the data. To enable an interactive exploration even in the face of multi-gigabyte data sets, we distribute the workload to a multi-processor parallel machine and a rendering client.

An Open Framework for Analyzing and Modeling XR Network Traffic

“…In particular, a huge effort has been devoted to the creation and validation of practical systems that use immersive technology to interact with the world in different ways. An example can be found in [23], which describes a system for the interactive analysis of large datasets with time-dependent data, realized on a multiprocessor parallel machine in order to guarantee a smooth user experience. Instead, in [24] the authors developed a proof-of-concept system, combining Oculus Rift HMD and the Phantom Premium 1.5 High Force haptic device with the goal of demonstrating the feasibility of combining HMD and haptics in one system.…”

Design Guidelines for Immersive Dashboards

“…(Butcher & Ritsos, 2017;Cavallo et al, 2019;Lee et al, 2019;Liu et al, 2020;Sicat et al, 2019) Domain experts include users in academia like data scientists, immersive analytic researchers, and other scientists. They can also be industry professionals like city planners, airport managers, air traffic analysts, investors, market operators, and visualization developers with varying XR programming expertise (Donalek et al, 2014;Hentschel et al, 2009;Shaikh et al, 2019). Therefore, immersive dashboards should conform to users' technical skills, professional background, and context of use.…”

“…Immersive techniques can create a stereoscopic virtual workspace for unlimited user interaction. However, the free-movement navigation without an overview causes user disorientation, and the navigation metaphors like flying and real-walking are timeconsuming (Hentschel et al, 2009). The CAVE (Cave Automatic Virtual Environment), a device used with immersive technologies, projects data visualizations into a room-sized cube with screen walls.…”

“…It facilitates collaborative data analysis, but the equipment and configuration process is cost-prohibitive, complex, inflexible, unscalable, and nonrenewable. (Butcher & Ritsos, 2017) Developers have to be highly skilled at low-level programming and visual mapping of multidimensional data in immersive spaces Hentschel et al, 2009;). Besides, more collaborative analysis functions are needed, such as data storytelling, larger-scale analysis, and shareable independent views (Lee et al, 2019).…”

ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes

“…BalloonProbe [11] uses spherical shapes to let users separate objects based on their attributes in a 3D scene. Bounding boxes of groups of points in a 3D space [14] can become interactive to select items. Balloon Selection [3] also lets users create and translate spheres in a 3D space for target selections, with a combination of 2 DOF interactions.…”