Egocentric Network Exploration for Immersive Analytics - Pacific Graphics 21 talk
Published at : October 25, 2021
By Johannes Sorger (CSH Vienna), Alessio Arleo (TU Wien), Peter Kán (TU Wien), Wolfgang Knecht (CSH Vienna), Manuela Waldner (TU Wien)
Presented at Pacific Graphics 21
Published in the proceedings of Computer Graphics Forum (CGF) Volume 40 (2021) - Issue 7
https://diglib.eg.org/handle/10.1111/cgf14417
Abstract:
To exploit the potential of immersive network analytics for engaging and effective exploration, we promote the metaphor of ``egocentrism'', where data depiction and interaction are adapted to the perspective of the user within a 3D network. Egocentrism has the potential to overcome some of the inherent downsides of virtual environments, e.g., visual clutter and cyber-sickness. To investigate the effect of this metaphor on immersive network exploration, we designed and evaluated interfaces of varying degrees of egocentrism. In a user study, we evaluated the effect of these interfaces on visual search tasks, efficiency of network traversal, spatial orientation, as well as cyber-sickness. Results show that a simple egocentric interface considerably improves visual search efficiency and navigation performance, yet does not decrease spatial orientation or increase cyber-sickness. Local layout optimizations of the neighborhood only marginally improves the user's performance. We tie our findings together in an open online tool for egocentric network exploration, providing actionable insights on the benefits of the egocentric network exploration metaphor.
Try it out for yourself:
https://vis.csh.ac.at/egocentricvr/
https://github.com/complexity-science-hub/pyvistool
Presented at Pacific Graphics 21
Published in the proceedings of Computer Graphics Forum (CGF) Volume 40 (2021) - Issue 7
https://diglib.eg.org/handle/10.1111/cgf14417
Abstract:
To exploit the potential of immersive network analytics for engaging and effective exploration, we promote the metaphor of ``egocentrism'', where data depiction and interaction are adapted to the perspective of the user within a 3D network. Egocentrism has the potential to overcome some of the inherent downsides of virtual environments, e.g., visual clutter and cyber-sickness. To investigate the effect of this metaphor on immersive network exploration, we designed and evaluated interfaces of varying degrees of egocentrism. In a user study, we evaluated the effect of these interfaces on visual search tasks, efficiency of network traversal, spatial orientation, as well as cyber-sickness. Results show that a simple egocentric interface considerably improves visual search efficiency and navigation performance, yet does not decrease spatial orientation or increase cyber-sickness. Local layout optimizations of the neighborhood only marginally improves the user's performance. We tie our findings together in an open online tool for egocentric network exploration, providing actionable insights on the benefits of the egocentric network exploration metaphor.
Try it out for yourself:
https://vis.csh.ac.at/egocentricvr/
https://github.com/complexity-science-hub/pyvistool
immersive analyticsvisualizationdata vis