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Excentric labeling: dynamic neighborhood labeling for data visualization

Authors:

Jean-Daniel Fekete,

Catherine PlaisantAuthors Info & Claims

CHI '99: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

Pages 512 - 519

https://doi.org/10.1145/302979.303148

Published: 01 May 1999 Publication History

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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.

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Cited By

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Gedicke SHaunert J(2023)An Empirical Study on Interfaces for Presenting Large Sets of Point Features in Mobile MapsThe Cartographic Journal10.1080/00087041.2023.218235460:1(25-42)Online publication date: 15-Aug-2023
https://doi.org/10.1080/00087041.2023.2182354
Fadloun SMeshoul SChoutri K(2022)CircleVis: A Visualization Tool for Circular Labeling Arrangements and Overlap RemovalApplied Sciences10.3390/app12221139012:22(11390)Online publication date: 10-Nov-2022
https://doi.org/10.3390/app122211390
Cmolik LPavlovec VWu HNollenburg M(2022)Mixed Labeling: Integrating Internal and External LabelsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.302736828:4(1848-1861)Online publication date: 1-Apr-2022
https://doi.org/10.1109/TVCG.2020.3027368
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Index Terms

Excentric labeling: dynamic neighborhood labeling for data visualization
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

CHI '99: Proceedings of the SIGCHI conference on Human Factors in Computing Systems

May 1999

632 pages

ISBN:0201485591

DOI:10.1145/302979

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 May 1999

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CHI99

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SIGCHI

CHI99: Conference on Human Factors in Computing Systems

May 15 - 20, 1999

Pennsylvania, Pittsburgh, USA

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CHI '99 Paper Acceptance Rate 78 of 312 submissions, 25%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

View all

Gedicke SHaunert J(2023)An Empirical Study on Interfaces for Presenting Large Sets of Point Features in Mobile MapsThe Cartographic Journal10.1080/00087041.2023.218235460:1(25-42)Online publication date: 15-Aug-2023
https://doi.org/10.1080/00087041.2023.2182354
Fadloun SMeshoul SChoutri K(2022)CircleVis: A Visualization Tool for Circular Labeling Arrangements and Overlap RemovalApplied Sciences10.3390/app12221139012:22(11390)Online publication date: 10-Nov-2022
https://doi.org/10.3390/app122211390
Cmolik LPavlovec VWu HNollenburg M(2022)Mixed Labeling: Integrating Internal and External LabelsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.302736828:4(1848-1861)Online publication date: 1-Apr-2022
https://doi.org/10.1109/TVCG.2020.3027368
Limberger DScheibel WDöllner JTrapp M(2022)Visual variables and configuration of software mapsJournal of Visualization10.1007/s12650-022-00868-126:1(249-274)Online publication date: 16-Sep-2022
https://doi.org/10.1007/s12650-022-00868-1
Khartabil DCollins CWells SBach BKennedy J(2021)Design and Evaluation of Visualization Techniques to Facilitate Argument ExplorationComputer Graphics Forum10.1111/cgf.1438940:6(447-465)Online publication date: 9-Aug-2021
https://doi.org/10.1111/cgf.14389
Zhou ZWang LPopescu V(2021)A Partially-Sorted Concentric Layout for Efficient Label Localization in Augmented RealityIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310649227:11(4087-4096)Online publication date: Nov-2021
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Gedicke SBonerath ANiedermann BHaunert J(2021)Zoomless Maps: External Labeling Methods for the Interactive Exploration of Dense Point Sets at a Fixed Map ScaleIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.303039927:2(1247-1256)Online publication date: Feb-2021
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Gedicke SJabrayilov ANiedermann BMutzel PHaunert J(2021)Point feature label placement for multi-page maps on small-screen devicesComputers and Graphics10.1016/j.cag.2021.07.019100:C(66-80)Online publication date: 1-Nov-2021
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Goebel FKurzhals KSchinazi VKiefer PRaubal M(2020)Gaze-Adaptive Lenses for Feature-Rich Information SpacesACM Symposium on Eye Tracking Research and Applications10.1145/3379155.3391323(1-8)Online publication date: 2-Jun-2020
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Reckziegel MPfeiffer LHeine CJanicke S(2020)Modeling How Humans Judge Dot-Label Relations in Point Cloud VisualizationsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.297050926:6(2144-2155)Online publication date: 1-Jun-2020
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