Title :
Data characterization for automatically visualizing heterogeneous information
Author :
Zhou, Michelle X. ; Feiner, Steven K.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
Abstract :
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
Keywords :
data analysis; data visualisation; human factors; technical presentation; application domains; automated graphical generation systems; automatic visualization; automatically-generated examples; data analysis taxonomy; data characterization; domain-specific information; graphical technique selection; heterogeneous information; interactive environments; presentation-related characteristics; presentations design; qualitative information; quantitative information; static environments; user information-seeking goals; visual interpretation preferences; Animation; Application software; Buildings; Computer network management; Computer science; Data visualization; Hospitals; Shape; Taxonomy; Testing;
Conference_Titel :
Information Visualization '96, Proceedings IEEE Symposium on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-8186-7668-X
DOI :
10.1109/INFVIS.1996.559211
