SSCA: Situated Space-Time Cube Analytics

Abstract

Spatio-temporal visualization research has been capturing much attention in recent years. Space-time cube (STC) has been commonly used to visualize this data to support analytic tasks. However, the current STC visualization tools are currently not compatible with situated platforms since these tools are often designed for desktop computing. Thus, we propose a situated space-time cube analytics (SSCA) prototype that maps spatio-temporal trajectory data into the environment where the data was captured. Being situated in such an environment while exploring data can provide benefits, and further allows us to explore interaction techniques such as proxemics and embodied interaction. We are confident that with SSCA, and a new generation of augmented reality technologies, researchers can begin to better explore the potential of situated STC analytics.

In Summary

Performing in-situ data exploration has shown to benefit the understanding of important environmental elements while exploring data. With the potential of augmented reality devices on the horizon, we explore spatio-temporal data exploration in-situ. SSCA was built with the Hololens 2 to enable data exploration within the environment where the data was captured.

Key Findings

• We share our protytpe SSCA (situated space-time cube analytics), which allows users to explore spatio-temporal data in the environment the data was captured
  • We offer a range of visualiztion capabilities as well as interaction modalities
• Our goal is to utilize SSCA for future study in proxemic and situated data exploration

In More Detail

Please review our short paper (linked above) for implementation details and components of SSCA.