Towards a Flexible User-Centred Visual Presentation Approach

Leveraging the power of flexible visual presentations has become an effective way to aid information interpretation, decision making and problem solving. It is indispensable to address the high complexities with visualization problems and relieve the impact from the intrinsic limitations of human cognitive capacity. Addressing these problems raises demanding requirements for information presentation flexibility. However, many existing visualization systems tend to provide weak support for such flexibility due to the issue of closely coupled information representation and presentation in system designs. This issue limits their support for rich presentation options, flexible presentation integration and reusability, and vivid storytelling of data. To help with addressing these problems, issues and requirements, this paper generalizes typical presentation models to provide paradigm level support for achieving presentation flexibility, and identifies key requirements for presentation development to accomplish the flexibility at a system level. With articulating the requirements at both paradigm and system levels, the paper proposes a user-centred process to realize presentation flexibility by meeting both functional and cognitive requirements for information presentation. The proposed theory is validated against a realworld business case and applied to guide the development of a prototypical system, which is demonstrated through a sequence of scenario-driven illustrations.

[1]  David Sundaram,et al.  Context adaptive visualization for effective business intelligence , 2013, 2013 15th IEEE International Conference on Communication Technology.

[2]  Daniel A. Keim,et al.  Geovisual analytics for spatial decision support: Setting the research agenda , 2007, Int. J. Geogr. Inf. Sci..

[3]  Ben Shneiderman,et al.  Readings in information visualization - using vision to think , 1999 .

[4]  Edward L. Robertson,et al.  Nonlinear magnification fields , 1997, Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium.

[5]  Steven F. Roth,et al.  On the semantics of interactive visualizations , 1996, Proceedings IEEE Symposium on Information Visualization '96.

[6]  John Riedl,et al.  A spreadsheet approach to information visualization , 1997, Proceedings of VIZ '97: Visualization Conference, Information Visualization Symposium and Parallel Rendering Symposium.

[7]  Nor Laila Md. Noor,et al.  Information Visualization Concepts and Issues , 2003, PACIS.

[8]  Jock D. Mackinlay,et al.  Storytelling: The Next Step for Visualization , 2013, Computer.

[9]  Saul Greenberg,et al.  Navigating hierarchically clustered networks through fisheye and full-zoom methods , 1996, TCHI.

[10]  Cláudio T. Silva,et al.  Querying and Creating Visualizations by Analogy , 2007, IEEE Transactions on Visualization and Computer Graphics.

[11]  Jeffrey Heer,et al.  Narrative Visualization: Telling Stories with Data , 2010, IEEE Transactions on Visualization and Computer Graphics.

[12]  John Riedl,et al.  An operator interaction framework for visualization systems , 1998, Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258).

[13]  Bongshin Lee,et al.  A Deeper Understanding of Sequence in Narrative Visualization , 2013, IEEE Transactions on Visualization and Computer Graphics.

[14]  G. A. Miller THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

[15]  Gloria B. Levitas The world of psychology , 1963 .

[16]  Robert Spence,et al.  Information Visualization: Design for Interaction (2nd Edition) , 2006 .

[17]  Nicholas Diakopoulos,et al.  Visualization Rhetoric: Framing Effects in Narrative Visualization , 2011, IEEE Transactions on Visualization and Computer Graphics.

[18]  Ed H. Chi,et al.  A taxonomy of visualization techniques using the data state reference model , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.

[19]  Christopher D. Wickens,et al.  An introduction to human factors engineering , 1997 .

[20]  M. Sheelagh T. Carpendale,et al.  Graph Folding: Extending Detail and Context Viewing into a Tool for Subgraph Comparisons , 1995, GD.

[21]  Kwan-Liu Ma,et al.  Scientific Storytelling Using Visualization , 2012, IEEE Computer Graphics and Applications.

[22]  Jeffrey Heer,et al.  Software Design Patterns for Information Visualization , 2006, IEEE Transactions on Visualization and Computer Graphics.

[23]  Richard C. Atkinson,et al.  Human Memory: A Proposed System and its Control Processes , 1968, Psychology of Learning and Motivation.

[24]  Ben Shneiderman,et al.  The eyes have it: a task by data type taxonomy for information visualizations , 1996, Proceedings 1996 IEEE Symposium on Visual Languages.

[25]  David Sundaram,et al.  Visual intelligence density: definition, measurement, and implementation , 2009, CHINZ '09.

[26]  M. D’Esposito Working memory. , 2008, Handbook of clinical neurology.

[27]  M. Sheelagh T. Carpendale,et al.  A framework for unifying presentation space , 2001, UIST '01.

[28]  Robert Spence,et al.  Information Visualization: Design for Interaction (2nd Edition) , 2007 .

[29]  Bill Hibbard,et al.  Top ten visualization problems , 1999, COMG.

[30]  S. Epstein,et al.  Individual differences in intuitive-experiential and analytical-rational thinking styles. , 1996, Journal of personality and social psychology.

[31]  Steven K. Feiner,et al.  Worlds within worlds: metaphors for exploring n-dimensional virtual worlds , 1990, UIST '90.