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The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations

Published: 03 September 1996 Publication History

Abstract

A useful starting point for designing advanced graphical user interfaces is the Visual Information-Seeking Mantra: overview first, zoom and filter, then details on demand. But this is only a starting point in trying to understand the rich and varied set of information visualizations that have been proposed in recent years. This paper offers a task by data type taxonomy with seven data types (one-, two-, three-dimensional data, temporal and multi-dimensional data, and tree and network data) and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts).

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Published In

cover image Guide Proceedings
VL '96: Proceedings of the 1996 IEEE Symposium on Visual Languages
September 1996
ISBN:081867508X

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 September 1996

Author Tags

  1. graphical user interfaces
  2. information visualization
  3. visualization

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Cited By

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  • (2024)Efficient and Reusable Lazy SamplingACM SIGMOD Record10.1145/3665252.366526153:1(33-42)Online publication date: 14-May-2024
  • (2024)Health Data Visualization Literacy Skills of Young Adults with Down Syndrome and the Barriers to Inference-makingACM Transactions on Accessible Computing10.1145/364862117:1(1-1)Online publication date: 24-Feb-2024
  • (2024)A Skill Proficiency Framework for Workforce Learning and DevelopmentProceedings of the 33rd ACM International Conference on Information and Knowledge Management10.1145/3627673.3679228(5210-5214)Online publication date: 21-Oct-2024
  • (2024)Designing for Ambiguity in Visual Analytics: Lessons from Risk Assessment and PredictionIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.332657130:1(924-933)Online publication date: 1-Jan-2024
  • (2023)Augmented Reality Visualization of Autonomous Mobile Robot Change Detection in Uninstrumented EnvironmentsACM Transactions on Human-Robot Interaction10.1145/361165413:3(1-30)Online publication date: 21-Aug-2023
  • (2023)LAQy: Efficient and Reusable Query Approximations via Lazy SamplingProceedings of the ACM on Management of Data10.1145/35893191:2(1-26)Online publication date: 20-Jun-2023
  • (2023)Accessible Data Representation with Natural SoundProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581087(1-19)Online publication date: 19-Apr-2023
  • (2022)ClioQuery: Interactive Query-oriented Text Analytics for Comprehensive Investigation of Historical News ArchivesACM Transactions on Interactive Intelligent Systems10.1145/352402512:3(1-49)Online publication date: 26-Jul-2022
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  • (2022)Improving Visualization Interpretation Using CounterfactualsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.311477928:1(998-1008)Online publication date: 1-Jan-2022
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