Les leçons tirées des deux compétitions de visualisation d'information

Authors:
Jean-Daniel Fekete;Catherine Plaisant
Affiliations:
INRIA Futurs/LRI, Université Paris-Sud, Orsay Cedex, France;Human-Computer Interaction Laboratory, University of Maryland, College Park, MD
Venue:
IHM 2004 Proceedings of the 16th conference on Association Francophone d'Interaction Homme-Machine
Year:
2004

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Abstract

Information visualization needs benchmarks to carry on. A benchmark is aimed at comparing information visualization techniques or systems. A benchmark is made of a dataset, a list of tasks mostly based on finding facts about the dataset, and a list of interesting or important findings about the datasets (the nuggets to find). For the second year, we are organizing the InfoVis Contest aimed at collecting results for benchmarks. We describe here the main lessons we learned.