Excentric labeling: dynamic neighborhood labeling for data visualization

Abstract : The widespread use of information visualization is hampered by the lack of effective labeling techniques. An informal taxonomy of labeling methods is proposed. We then describe excentric labeling, a new dynamic technique to label a neighborhood of objects located around the cursor. This technique does not intrude into the existing interaction, it is not computationally intensive, and was easily applied to several visualization applications. A pilot study with eight subjects indicates a strong speed benefit over a zoom interface for tasks that involve the exploration of large numbers of objects. Observations and comments from users are presented.
Type de document :
Communication dans un congrès
Proceedings of the SIGCHI conference on Human Factors in Computing Systems, May 1999, Pittsburgh, PA, United States. ACM, pp.512--519, 1999, 〈10.1145/302979.303148〉
Liste complète des métadonnées

https://hal.inria.fr/hal-00877395
Contributeur : Jean-Daniel Fekete <>
Soumis le : lundi 28 octobre 2013 - 13:57:28
Dernière modification le : vendredi 22 juin 2018 - 09:33:20

Identifiants

Collections

Citation

Jean-Daniel Fekete, Catherine Plaisant. Excentric labeling: dynamic neighborhood labeling for data visualization. Proceedings of the SIGCHI conference on Human Factors in Computing Systems, May 1999, Pittsburgh, PA, United States. ACM, pp.512--519, 1999, 〈10.1145/302979.303148〉. 〈hal-00877395〉

Partager

Métriques

Consultations de la notice

91