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Conference Papers Year : 1999

Excentric labeling: dynamic neighborhood labeling for data visualization

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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.

Dates and versions

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

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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⟩
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