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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.
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Contributor : Jean-Daniel Fekete Connect in order to contact the contributor
Submitted on : Monday, October 28, 2013 - 1:57:28 PM
Last modification on : Monday, July 27, 2020 - 2:00:04 PM

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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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