Supporting effective common ground construction in Asynchronous Collaborative Visual Analytics

Asynchronous Collaborative Visual Analytics (ACVA) leverages group sensemaking by releasing the constraints on when, where, and who works collaboratively. A significant task to be addressed before ACVA can reach its full potential is effective common ground construction, namely the process in which users evaluate insights from individual work to develop a shared understanding of insights and collectively pool them. This is challenging due to the lack of instant communication and scale of collaboration in ACVA. We propose a novel visual analytics approach that automatically gathers, organizes, and summarizes insights to form common ground with reduced human effort. The rich set of visualization and interaction techniques provided in our approach allows users to effectively and flexibly control the common ground construction and review, explore, and compare insights in detail. A working proto-type of the approach has been implemented. We have conducted a case study and a user study to demonstrate its effectiveness.

[1]  Herbert H. Clark,et al.  Grounding in communication , 1991, Perspectives on socially shared cognition.

[2]  Alexander W. Skaburskis,et al.  The Sandbox for analysis: concepts and methods , 2006, CHI.

[3]  Yolanda Gil,et al.  User interfaces with semi-formal representations: a study of designing argumentation structures , 2005, IUI '05.

[4]  Martin Wattenberg,et al.  Voyagers and voyeurs: supporting asynchronous collaborative information visualization , 2007, CHI.

[5]  Christopher Andrews,et al.  VizCept: Supporting synchronous collaboration for constructing visualizations in intelligence analysis , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

[6]  Matthew O. Ward,et al.  Managing discoveries in the visual analytics process , 2007, SKDD.

[7]  Jarke J. van Wijk,et al.  Supporting the analytical reasoning process in information visualization , 2008, CHI.

[8]  Jeffrey Heer,et al.  Design Considerations for Collaborative Visual Analytics , 2008, Inf. Vis..

[9]  Helena M. Mentis,et al.  Articulating common ground in cooperative work: content and process , 2008, CHI.

[10]  P. Pirolli,et al.  Collaborative Intelligence Analysis with CACHE and its Effects on Information Gathering and Cognitive Bias , 2006 .

[11]  Anthony C. Robinson,et al.  Collaborative synthesis of visual analytic results , 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.

[12]  Jarke J. van Wijk,et al.  Supporting Exploration Awareness in Information Visualization , 2009, IEEE Computer Graphics and Applications.

[13]  Ye Zhao,et al.  STREAMIT: Dynamic visualization and interactive exploration of text streams , 2011, 2011 IEEE Pacific Visualization Symposium.

[14]  William Ribarsky,et al.  Toward effective insight management in visual analytics systems , 2009, 2009 IEEE Pacific Visualization Symposium.

[15]  Ben Shneiderman,et al.  Network Visualization by Semantic Substrates , 2006, IEEE Transactions on Visualization and Computer Graphics.

[16]  B. Yost,et al.  A multiple view approach to support common ground in distributed and synchronous geo-collaboration , 2005, Coordinated and Multiple Views in Exploratory Visualization (CMV'05).

[17]  Scott Barlowe,et al.  Click2Annotate: Automated Insight Externalization with rich semantics , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

[18]  Melanie Tory,et al.  A closer look at note taking in the co-located collaborative visual analytics process , 2010, 2010 IEEE Symposium on Visual Analytics Science and Technology.

[19]  Jeffrey Heer,et al.  CommentSpace: structured support for collaborative visual analysis , 2011, CHI.

[20]  John T. Stasko,et al.  Casual Information Visualization: Depictions of Data in Everyday Life , 2007, IEEE Transactions on Visualization and Computer Graphics.

[21]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[22]  Michelle X. Zhou,et al.  Characterizing Users' Visual Analytic Activity for Insight Provenance , 2008, 2008 IEEE Symposium on Visual Analytics Science and Technology.

[23]  Ben Shneiderman,et al.  Strategies for evaluating information visualization tools: multi-dimensional in-depth long-term case studies , 2006, BELIV '06.

[24]  Mary Beth Rosson,et al.  Awareness and teamwork in computer-supported collaborations , 2006, Interact. Comput..

[25]  Martin Wattenberg,et al.  ManyEyes: a Site for Visualization at Internet Scale , 2007, IEEE Transactions on Visualization and Computer Graphics.

[26]  Qiang Zhang,et al.  TIARA: a visual exploratory text analytic system , 2010, KDD '10.

[27]  David Gotz,et al.  Connecting the dots in visual analysis , 2009, 2009 IEEE Symposium on Visual Analytics Science and Technology.

[28]  Steven F. Roth,et al.  Visualizing common ground , 2003, Proceedings on Seventh International Conference on Information Visualization, 2003. IV 2003..