Data characterization for automatically visualizing heterogeneous information

Automated graphical generation systems should be able to design effective presentations for heterogeneous (quantitative and qualitative) information in static or interactive environments. When building such a system, it is important to thoroughly understand the presentation-related characteristics of domain-specific information. We define a data-analysis taxonomy that can be used to characterize heterogeneous information. In addition to capturing the presentation-related properties of data, our characterization takes into account the user's information-seeking goals and visual-interpretation preferences. We use automatically-generated examples from two different application domains to demonstrate the coverage of the proposed taxonomy and its utility for selecting effective graphical techniques.

[1]  John J. Bertin,et al.  The semiology of graphics , 1983 .

[2]  Evelyn Goldsmith.  Research into Illustration:An Approach and a Review , 1984 .

[3]  Steven K. Feiner,et al.  Apex: An Experiment in the Automated Creation of Pictorial Explanations , 1985, IEEE Computer Graphics and Applications.

[4]  Jock D. Mackinlay,et al.  Automating the design of graphical presentations of relational information , 1986, TOGS.

[5]  Steven F. Roth,et al.  Data characterization for intelligent graphics presentation , 1990, CHI '90.

[6]  Clayton Lewis,et al.  A problem-oriented classification of visualization techniques , 1990, Proceedings of the First IEEE Conference on Visualization: Visualization `90.

[7]  Stephen M. Casner,et al.  Task-analytic approach to the automated design of graphic presentations , 1991, TOGS.

[8]  Steven F. Roth,et al.  Automating the presentation of information , 1991, [1991] Proceedings. The Seventh IEEE Conference on Artificial Intelligence Application.

[9]  Eduard H. Hovy,et al.  On the Knowledge Underlying Multimedia Presentations , 1991, AAAI Workshop on Intelligent Multimedia Interfaces.

[10]  Peter R. Keller,et al.  Visual cues - practical data visualization , 1993 .

[11]  Steven K. Feiner,et al.  MAGIC: an experimental system for generating multimedia briefings about post-bypass patient status. , 1996, Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium.

[12]  Steven K. Feiner,et al.  Top-down hierarchical planning of coherent visual discourse , 1997, IUI '97.