Task taxonomy for graph visualization

Bongshin Lee 1 Catherine Plaisant 1 Cynthia Sims 1 Jean-Daniel Fekete 2 Nathalie Henry 2
1 HCIL - Human-Computer Interaction Lab [College Park]
2 IN-SITU - Situated interaction
LRI - Laboratoire de Recherche en Informatique, UP11 - Université Paris-Sud - Paris 11, Inria Saclay - Ile de France, CNRS - Centre National de la Recherche Scientifique : UMR8623
Abstract : Our goal is to define a list of tasks for graph visualization that has enough detail and specificity to be useful to designers who want to improve their system and to evaluators who want to compare graph visualization systems. In this paper, we suggest a list of tasks we believe are commonly encountered while analyzing graph data. We define graph specific objects and demonstrate how all complex tasks could be seen as a series of low-level tasks performed on those objects. We believe that our taxonomy, associated with benchmark datasets and specific tasks, would help evaluators generalize results collected through a series of controlled experiments.
Type de document :
Communication dans un congrès
BELIV '06: Proceedings of the 2006 AVI workshop on BEyond time and errors, May 2006, Venezia, Italy. ACM, pp.1-5, 2006, 〈http://dl.acm.org/citation.cfm?id=1168168〉. 〈10.1145/1168149.1168168〉
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https://hal.inria.fr/hal-00851754
Contributeur : Jean-Daniel Fekete <>
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Dernière modification le : jeudi 5 avril 2018 - 12:30:12
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Bongshin Lee, Catherine Plaisant, Cynthia Sims, Jean-Daniel Fekete, Nathalie Henry. Task taxonomy for graph visualization. BELIV '06: Proceedings of the 2006 AVI workshop on BEyond time and errors, May 2006, Venezia, Italy. ACM, pp.1-5, 2006, 〈http://dl.acm.org/citation.cfm?id=1168168〉. 〈10.1145/1168149.1168168〉. 〈hal-00851754〉

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