Smart Lenses

Focus + context techniques are widely used for the efficient visualization of large data sets. However, the corresponding adaptation of the representation to the task at hand is not trivial, requiring a suitable model of the visualization goal. One type of focus + context technique is the use of lenses, interactive tools that modify the visualization in a locally confined region and can be 'stacked' to create complex filters. In this paper we propose a new approach to intergrate smart lensesinto the visualization process based on Chi's Data State Reference Model.This allows us to automatically adapt specific aspects of the visualization based on relevant influence factors, without complex task modeling.

[1]  Peter Forbrig,et al.  Using HCI-Patterns with Model-based Generation of Advanced User-Interfaces , 2006, MDDAUI@MoDELS.

[2]  Heidrun Schumann,et al.  Plugable Lenses for Interactive Visualizations , .

[3]  Alan Keahey The generalized detail in-context problem , 1998, Proceedings IEEE Symposium on Information Visualization (Cat. No.98TB100258).

[4]  Gennady L. Andrienko,et al.  Exploratory analysis of spatial and temporal data - a systematic approach , 2005 .

[5]  Maureen C. Stone,et al.  Enhanced Illustration Using Magic Lens Filters , 1997, IEEE Computer Graphics and Applications.

[6]  Silvia Miksch,et al.  Semantic depth of field , 2001, IEEE Symposium on Information Visualization, 2001. INFOVIS 2001..

[7]  Alan J. Dix,et al.  A Taxonomy of Clutter Reduction for Information Visualisation , 2007, IEEE Transactions on Visualization and Computer Graphics.

[8]  Mark D. Apperley,et al.  A review and taxonomy of distortion-oriented presentation techniques , 1994, TCHI.

[9]  Heidrun Schumann,et al.  Visual Analysis of Human Health Data , 2003 .

[10]  Heidrun Schumann,et al.  Task-Driven Color Coding , 2008, 2008 12th International Conference Information Visualisation.

[11]  Heidrun Schumann,et al.  Fisheye Tree Views and Lenses for Graph Visualization , 2006, Tenth International Conference on Information Visualisation (IV'06).

[12]  T. A. Keahey,et al.  Area-normalized thematic views , 1998 .

[13]  Heidrun Schumann,et al.  3D Mesh Exploration for Smart Visual Interfaces , 2008, VISUAL.

[14]  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.

[15]  Lucy T. Nowell,et al.  ThemeRiver: visualizing theme changes over time , 2000, IEEE Symposium on Information Visualization 2000. INFOVIS 2000. Proceedings.

[16]  Antje Düsterhöft,et al.  Advanced Multi-Modal User Interfaces for Mobile Devices: Integration of Visualization, Speech Interaction and Task Modeling , 2006 .

[17]  Alan J. Dix,et al.  Enabling Automatic Clutter Reduction in Parallel Coordinate Plots , 2006, IEEE Transactions on Visualization and Computer Graphics.

[18]  Heidrun Schumann,et al.  A Classification Scheme for Lens Techniques , 2005, WSCG.

[19]  John F. Hughes,et al.  An annotation system for 3D fluid flow visualization , 1994, Proceedings Visualization '94.

[20]  Wolf-Dieter Rase Fischauge-Projektionen als kartographische Lupen , 1997 .