, Bell Labs/Lucent Technologies
Pages: pp. 16-17
"The proof of the pudding is in the eating."
— An English proverb
One of the major challenges of information visualization is using it to solve real-world problems in diverse areas such as telecommunications, financial analysis, software engineering, command and control, and information systems. The real world is complicated. Data and information are often complex, massive, time dependent, of diverse types, and not always reliable. To make the situation even more complex, users come with all levels of capabilities, education, and tastes. All of these facts further complicate the visualization process.
Unfortunately, academic interests rather than applicability to real-life situations tend to motivate a large part of the research and development in visualization. This creates a visualization "bag of tricks" according to our colleague Ken Boff.
An alternative, more demanding—but necessary—approach is to study the problem first and then look for appropriate solutions (for example, using information visualization, if appropriate). Those of us in the visualization community need to realize that in many real-world applications, visualization is just one component of a complex system rather than a stand-alone entity. We also need to understand the system and the user needs in order to create effective visualizations.
The section on information visualization in this special issue presents examples of the potential usefulness of information visualization in real-life environments containing large amounts of complex data and information. From the wide range of issues concerning this practical area, we chose to focus mainly on one aspect—scaling. This scaling issue—how to deal with massive amounts of complex data and information practically—is very important.
Methodologies for dealing with large amounts of data and information can be classified as follows:
Condensing. Condensing large amounts of information into a given display space. Consider the following:
You can also view the condensed information in detail by various techniques, such as using selective magnification. 6
Organization. Information can be organized according to its contents or to another natural order. You can arrange the representation in varying levels of detail, such as summaries, and in different formats, including a WebBook, which represents a collection of pages in a book format, 7 tables, a structured display space, 5 rooms, 4 and spreadsheets (see Chi et al. in this issue). In addition, proper interaction techniques (such as simple clicking or brushing) can reveal various details of the information.
Segmentation. Displaying the information one segment at a time using side-by-side representations, such as spreadsheets, direct manipulation to display parts of the information contained in the data set, 8 and animation, which presents information segments sequentially with time. 9
The information visualization section in this special issue is composed of two parts. The first contains three articles addressing the problem of how to deal with huge amounts of information—a problem prevalent in current information systems. Munzner's article describes ways to represent large graphs using a 3D hyperbolic space. Chi et al. demonstrate the usefulness of the spreadsheet metaphor to represent visualizations of many data or information sets. Finally, the article by Chuah and Eick represents novel ways of using complex icons (glyphs) to manage massive complex software environments.
The second section comprises three short articles describing various aspects of information visualization applications. Wright highlights the Birds-of-a-Feather session held at the Information Visualization Symposium 97 (InfoVis97) about the potential, road blocks, and trends in using information visualization in the business environment. Andrews depicts the use of information visualization in making structured hypermedia (including large hierarchical structures) more useful to users. Finally, the short article by Gershon discusses the difficulties of visually representing imperfections of data and information, and making accurate presentations. Imperfection of data, information, and presentation can be improved up to a point and, as in real life where nothing is perfect, users must learn how to cope with it. The article suggests a number of ways to handle these complex problems. Enjoy!
This special issue contains two sections—one on information visualization and the other on visualization case studies. The articles feature some of the best examples from both scientific and information visualization drawn from the 1997 IEEE Visualization Conference and Information Visualization Symposium, along with some of the important issues in each area. It is interesting to try to identify areas of overlap, and perhaps more interesting to see where the emphasis varies. Both, for example, address real-world problems and often apply similar techniques. As for where they differ, information visualization, aside from the more non-spatial nature of the problems, seems to me to have placed more empahsis on the human side of the equation. This may be necessary since their user community often does not come from a scientific or engineering background, though Alex Pang and Hans-Georg Pagendarm note the need for progress in this area in their introduction. Both areas, and indeed all areas of visualization, certainly need more emphasis on evaluation. As one reviewer observed (for a paper in another conference), "this appears to be a nice idea, but without user testing, it is hard to assess."
Nahum Gershon, Stephen G. Eick, Alex Pang, and Hans-Georg Pagendarm provide a more detailed introduction to their areas, and so I turn you over to them and to the excellent articles they chose. All of us hope you enjoy the selections!
The IEEE Symposium on Information Visualization (InfoVis 98), sponsored by the IEEE Computer Society Technical Committee on Computer Graphics, will be held 19-20 October 1998 at the Sheraton Imperial Hotel, Research Triangle Park, North Carolina.
InfoVis 98 will focus on all aspects of information visualization. For more information contact program co-chairs Graham Wills (email@example.com) or John Dill (firstname.lastname@example.org).