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.
Document type :
Conference papers
Liste complète des métadonnées

https://hal.inria.fr/hal-00877395
Contributor : Jean-Daniel Fekete <>
Submitted on : Monday, October 28, 2013 - 1:57:28 PM
Last modification on : Friday, June 22, 2018 - 9:33:20 AM

Identifiers

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. pp.512--519, ⟨10.1145/302979.303148⟩. ⟨hal-00877395⟩

Share

Metrics

Record views

94