Excentric labeling: dynamic neighborhood labeling for data visualization - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 1999

Excentric labeling: dynamic neighborhood labeling for data visualization

Résumé

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.

Dates et versions

hal-00877395 , version 1 (28-10-2013)

Identifiants

Citer

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. pp.512--519, ⟨10.1145/302979.303148⟩. ⟨hal-00877395⟩
118 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More