2022 June 13

SSCA: Situated Space-time Cube Analytics

Type:

Authors:

Venue:

EuroVis '22

Date of publication:

2022 June 13

URL:

10.2312/evs20221088

pdf download:

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.

Citation:

Alallah, F., Faleel, S., Sakamoto, Y., Rey, B., & Irani, P. (2022). SSCA: situated space-time cube analytics. In M. Agus, W. Aigner, & T. Hoellt, EuroVis 2022 - Short Papers (pp. ). : The Eurographics Association.

@inproceedings {alallah22_ssca,
  booktitle = {EuroVis 2022 - Short Papers},
  editor = {Agus, Marco and Aigner, Wolfgang and Hoellt, Thomas},
  title = {{SSCA: Situated Space-time Cube Analytics}},
  author = {Alallah, Fouad and Faleel, Shariff and Sakamoto, Yumiko and Rey, Bradley and Irani, Pourang},
  year = {2022},
  publisher = {The Eurographics Association},
  ISBN = {978-3-03868-184-7},
  DOI = {10.2312/evs.20221088}
}