Stereoscopic Visualization Techniques for Embedded System Graphs

There are some open questions within the data visualization community as to what benefits the third dimension might add to visualizing information that doesn’t have an inherent spatial component. Ragaad Al Tarawneh was at the 3DUI conference presenting a paper called “Utilization of Variation in Stereoscopic Depth for Encoding Aspects of Non-spatial Data.”

Ragaad recently completed her Ph.D. from the Computer Graphics and HCI group at the University of Kaiserslautern. She studied how to use different graph visualization techniques in order to help users better understand the behavior of complex data sets. She talks about a project collaboration with the Fraunhofer Institute about visualizing the failure mechanisms of complex embedded systems.

She talks about one of the useful applications of stereoscopic visualization techniques that she discovered in her research, which is called ExpanD. ExpanD is a “technique for expanding or contracting the nodes in order to align graph nodes in the 3D space with minimal occlusion.” She found that “stereoscopic depth can be used to encode data aspects of graphs under certain circumstances.”

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