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Collaborative Graph Visualization System OnGraX Bjrn Zimmer and - PowerPoint PPT Presentation

Displaying User Behavior in the Collaborative Graph Visualization System OnGraX Bjrn Zimmer and Andreas Kerren Department of Computer Science, ISOVIS Group, Linnaeus University, Sweden {bjorn.zimmer, andreas.kerren}@lnu.se Content


  1. Displaying User Behavior in the Collaborative Graph Visualization System OnGraX Björn Zimmer and Andreas Kerren Department of Computer Science, ISOVIS Group, Linnaeus University, Sweden {bjorn.zimmer, andreas.kerren}@lnu.se

  2. Content • Collaborative Scenarios • Motivation & Challenges • OnGraX • Video • User Experiment • Conclusion 2

  3. Collaborative Scenarios P. Isenberg et al. “Collaborative Visualization: Definition, Challenges, and Research Agenda,” Information Visualization , vol. 10, no. 4, pp. 310 – 326, 2011. 3

  4. Motivation & Challenges 1/2 • Huge and growing amounts of data in social sciences, software visualization, biology, … • Experts in different locations want to explore and analyze networks together – Collaborative tools should be easy to use on the fly spontaneously and without setup overhead • Collaborators should be able to establish and keep a common ground 1 1. J. Heer and M. Agrawala , “Design Considerations for Collaborative Visual Analytics” Information Visualization, vol. 7, no. 1, pp. 49 – 62, Feb. 2008. 4

  5. Motivation & Challenges 2/2 • Common Ground: – Collaboration & Awareness: • Who worked on the data previously? • Where did the user look at? • What changes were performed on the data? • Was it an expert or a novice user? • How to communicate thoughts/findings to subsequent users? – Pointing & Reference: • Participants of an analysis session can follow activities of each other 5

  6. OnGraX • Collaborative graph visualization in a web browser • All actions are tracked • Show current views and mouse positions of users • Annotations & chat links • Revisit old graph states • Visualization of user data – Logged viewports – Changes to the graph 6

  7. User Experiment 15 25-30 min Node Changes Node Views 3� 2.5� Rate� 2� Error� 1.5� Mean� 1� 0.5� 0� Glyphs� Color� Heat� Map� 7

  8. Conclusion • System for collaborative graph exploration in a browser – Seamlessly join and leave sessions - no additional applications needed • Synchronous and asynchronous interaction – Follow activities of other users and point to specific regions of the visualization – Visualize viewed regions and applied graph changes with heat maps 8

  9. Thank You! Any Questions? Contact: bjorn.zimmer@lnu.se 9

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