The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.06 - November/December (2009 vol.15)
pp: 1065-1072
Petra Isenberg , University of Calgary
Sheelagh Carpendale , University of Calgary
ABSTRACT
Large multi-touch displays are expanding the possibilities of multiple-coordinated views by allowing multiple people to interact with data in concert or independently. We present Lark, a system that facilitates the coordination of interactions with information visualizations on shared digital workspaces. We focus on supporting this coordination according to four main criteria: scoped interaction, temporal flexibility, spatial flexibility, and changing collaboration styles. These are achieved by integrating a representation of the information visualization pipeline into the shared workspace, thus explicitly indicating coordination points on data, representation, presentation, and view levels. This integrated meta-visualization supports both the awareness of how views are linked and the freedom to work in concert or independently. Lark incorporates these four main criteria into a coherent visualization collaboration interaction environment by providing direct visual and algorithmic support for the coordination of data analysis actions over shared large displays.
INDEX TERMS
Information visualization, Meta-visualization, Collaboration, Coordination, Co-located work, Workspace awareness
CITATION
Petra Isenberg, Sheelagh Carpendale, "Lark: Coordinating Co-located Collaboration with Information Visualization", IEEE Transactions on Visualization & Computer Graphics, vol.15, no. 6, pp. 1065-1072, November/December 2009, doi:10.1109/TVCG.2009.162
REFERENCES
[1] S. E. Brennan, K. Mueller, G. Zelinsky, I. Ramakrishnan, D. S. Warren, and A. Kaufman, Toward a multi-analyst, collaborative framework for visual analytics. In Proc. of the IEEE Symp. on Visual Analytics Science and Technology (VAST), pages 129–136. IEEE Comp. Soc., 2006.
[2] M. S. T. Carpendale, A Framework for Elastic Presentation Space. PhD Thesis, Simon Fraser University, 1999.
[3] E. H. Chi and J. Riedl, An operator interaction framework for visualization systems. In Proc. of the IEEE Symp. on Information Visualization (InfoVis), pages 63–70. IEEE Comp. Soc., 1998.
[4] M. C. Chuah and S. F. Roth, Visualizing common ground. In Proc. of the Intl. Conference on Information Visualization (IV), pages 365–372. IEEE Comp. Soc., 2003.
[5] C. Gutwin and S. Greenberg, Design for individuals, design for groups: tradeoffs between power and workspace awareness. In Proc. of the ACM Conference on Computer Supported Cooperative Work (CSCW), pages 207–216. ACM, 1998.
[6] J. Heer and M. Agrawala, Design considerations for collaborative visual analytics. Information Visualization, 7 (1): 49–62, 2008.
[7] P. Isenberg and S. Carpendale, Interactive tree comparison for co-located collaborative information visualization. IEEE Transactions on Visualization and Computer Graphics, 13 (6): 1232–1239, 2007.
[8] P. Isenberg and D. Fisher, Collaborative brushing and linking for co-located collaborative visual analytics of document collections. Computer Graphics Forum, 28 (3): 1031–1038, 2009.
[9] P. Isenberg, A. Tang, and S. Carpendale, An exploratory study of visual information analysis. In Proc. of the Conference on Human Factors in Computing Systems (CHI), pages 1217–1226. ACM, 2008.
[10] T. Isenberg, A. Miede, and S. Carpendale, A buffer framework for supporting responsive interaction in information visualization interfaces. In Proc. of the Intl. Conference on Creating, Connecting and Collaborating through Computing (C5), pages 262–269. IEEE Comp. Soc., 2006.
[11] P. E. Keel, Collaborative visual analytics: Inferring from the spatial organization and collaborative use of information. In Proc. of the IEEE Symp. on Visual Analytics Science and Technology (VAST), pages 137–144. IEEE Comp. Soc., 2006.
[12] R. Kruger, M. S. T. Carpendale, S. D. Scott, and A. Tang, Fluid integration of rotation and translation. In Proc. of the Conference on Human Factors in Computing Systems (CHI), pages 601–610. ACM, 2005.
[13] C. North and B. Shneiderman, Snap-together visualization: A user interface for coordinating visualizations via relational schemata. In Proc. of the Working Conference on Advanced Visual Interfaces (AVI), pages 128–135. ACM, 2000.
[14] S. D. Scott, M. S. T. Carpendale, and K. M. Inkpen, Territoriality in collaborative tabletop workspaces. In Proc. of the ACM Conference on Computer Supported Cooperative Work (CSCW), pages 294–303. ACM, 2004.
[15] J. G. Siek, L. Lee, and A. Lumsdaine, The boost graph library: user guide and reference manual. Addison-Wesley, 2002.
[16] A. Tang, M. Tory, B. Po, P. Neumann, and S. Carpendale, Collaborative coupling over tabletop displays. In Proc. of the Conference on Human Factors in Computing Systems (CHI), pages 1181–1290. ACM, 2006.
[17] J. J. Thomas and K. A. Cook editors. , Illuminating the Path: The Research and Development Agenda for Visual Analytics. National Visualization and Analytics Center, 2005.
[18] C. Weaver, Building highly-coordinated visualizations in improvise. In Proc. of the IEEE Symp. on Information Visualization (InfoVis), pages 159–166. IEEE Comp. Soc., 2004.
[19] C. Weaver, Visualizing coordination in situ. In Proc. of the IEEE Symp. on Information Visualization (InfoVis), pages 165–172. IEEE Comp. Soc., 2005.
[20] J. Wood, H. Wright, and K. Brodlie, CSCV—computer supported collaborative visualization. In Proc. of BCS Displays Group Intl. Conference on Modeling. Academic Press, 1995.
16 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool