CONTRIB From the g u e s t Editor Nahum Gershon The MITRE Corporation The second paper, "Bad Graphs, Good Lessons" written by Alan Davis, describes how familiar data displays such as graphs can reveal, distort or hide information. From these relatively simple displays, we learn about potential pitfalls of the more complicated visualizations so familiar and prevalent in computer graphics systems. The last paper, "Knowing What We Don't Know; How toVisualize an ImperfectWorld," describes the difficulties of visually representing imperfections of data and information, and in making accurate presentations. Imperfection of data, i n f o r m a t i o n and presentation can be improved up to a point and, just as in real life where nothing is perfect, users need to learn how cope with these complex problems.This paper suggests a number of possible solutions. I hope you enjoy the articles! "Seeing is believing" or so goes the popular saying. We are wired to accept what we see as the truth. Excluding chameleons and the like, this is true of nature most of the time. With synthetic imagery, however, this is not always the case.To begin with, the visualized data and information can be inaccurate or even wrong. And in the synthetic digital world, anybody can visualize anything in any shape or form, disregarding how users might potentially perceive or interpret the information. Incorrect visual representations can mask important pieces of information or distort their appearance. What makes the situation worse is that as t e c h n o l o g y develops, it becomes easier to do so. In the digital age, we are confronted with fast streams and massive quantities of data and information. This avalanche of data and information challenges the users who need to make effective decisions in relatively short times. To help tackle this issue, more and more people are increasingly relying on visual representations. Knowing what pieces of information or data are accurate, complete, consistent and certain; and which are not, and by how much, can be essential for understanding the data and information and for reaching sound decisions. By studying how to misrepresent data and information, we learn how not: to do it. This "mini-focus" presents three papers dealing with these important issues. The first piece,"Are Faithfulness and Accuracy Necessary?" addresses the question of when lying in data and information visualization is necessary or appropriate, and when it is not. iiiiiiii!i!iiiiiiii!i!iii , ii!il 32 Computer Graphics
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Presenting visual infomation responsibly
Gershon, Nahum
Follow ACM SIGGRAPH Computer Graphics
, Volume 33 (3)
Association for Computing Machinery – Aug 1, 1999
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