Information Visualization: Human-Centered Issues and PerspectivesAndreas Kerren, John Stasko, Jean-Daniel Fekete, Chris North FromMay28toJune1,2007, aseminaron InformationVisualization Human- Centered Issues in Visual Representation, Interaction, and Evaluation ( 07221) took place at the International Conference and Research Center for Computer Science, Dagstuhl Castle, Germany. The center was initiated by the German government to promote informatics research at an international level. It seeks to foster dialog among the computer science research community, advance a- demic education and professional development, and transfer knowledge between academia and industry. The primary feature of Dagstuhl is its series of week-long seminars on v- ious topics in computer science. Dagstuhl seminars are frequently described as being the mostproductive academic events that the participantresearchershave ever experienced. The informal and friendly atmosphere fostered at the center promotes personal interaction between the guests. Traditionally, there is no set programfollowedat Dagstuhl seminars.Instead, the pace and the procedure are determined by the presentations o?ered during the seminar and the discussion results. Further general information about Dagstuhl seminars can be found on 1 the Dagstuhl Castle webpage . Information visualization (InfoVis) is a relatively new research area, which focuses on the use of visualization techniques to help people understand and analyze data. While related ?elds such as scienti?c visualization involve the p- sentation of data that has some physical or geometric correspondence, infor- tionvisualizationcentersonabstractinformationwithoutsuchcorrespondences, i.e., information that cannot be mapped into the physical world in most cases." |
Contents
The Value of Information Visualization | 1 |
Evaluating Information Visualizations | 19 |
Theoretical Foundations of Information Visualization | 46 |
Teaching Information Visualization | 65 |
Engaging New Audiences for Information Visualization | 92 |
Process and Pitfalls in Writing Information Visualization Research Papers | 134 |
Definition Process and Challenges | 154 |
Author Index | 176 |
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ACM Press Alamitos algorithms alization application approach Carpendale challenges co-located collaborative cognitive collaborative visualization complex Computer Graphics Computer Society Press Conference context course Dagstuhl data analysis Data Mining data types dataset discussion display domain evaluation example experience exploration Factors in Computing focus GeoVisualization graph graph drawing heuristics human-computer interaction IEEE Computer Society IEEE Symposium IEEE Transactions important Information Visualiza Information Visualization InfoVis insight interactive visualization issues Kerren Los Alamitos measure methodologies multiple observations parallel coordinates participants patterns perception pitfalls possible presentation problem Proc Proceedings qualitative research quantitative questions scientific scientific visualization shared Shneiderman social specific Stasko structure Symposium on Information tag cloud tasks Technology theory tion Visualization toolkit Transactions on Visualization treemaps understanding user interface validity visu Visual Analytics visual encoding visual representation Visualization and Computer visualization systems visualization techniques workspace