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GravNav: using a gravity model for multi-scale navigation

Published: 21 May 2012 Publication History

Abstract

We present gravity navigation (GravNav), a family of multi-scale navigation techniques that use a gravity-inspired model for assisting navigation in large visual 2D spaces based on the interest and salience of visual objects in the space. GravNav is an instance of topology-aware navigation, which makes use of the structure of the visual space to aid navigation. We have performed a controlled study comparing GravNav to standard zoom and pan navigation, with and without variable-rate zoom control. Our results show a significant improvement for GravNav over standard navigation, particularly when coupled with variable-rate zoom. We also report findings on user behavior in multi-scale navigation.

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Published In

cover image ACM Other conferences
AVI '12: Proceedings of the International Working Conference on Advanced Visual Interfaces
May 2012
846 pages
ISBN:9781450312875
DOI:10.1145/2254556
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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  • Consulta Umbria SRL
  • University of Salerno: University of Salerno

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 May 2012

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Author Tags

  1. guided navigation
  2. multi-scale spaces
  3. panning
  4. space-scale diagrams
  5. topology-aware navigation
  6. zooming

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  • Research-article

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AVI'12
Sponsor:
  • University of Salerno

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Overall Acceptance Rate 128 of 490 submissions, 26%

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Cited By

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  • (2024)Two-point Equidistant Projection and Degree-of-interest Filtering for Smooth Exploration of Geo-referenced Networks2024 IEEE Visualization and Visual Analytics (VIS)10.1109/VIS55277.2024.00023(76-80)Online publication date: 13-Oct-2024
  • (2024)Navigation and Positioning Method of Earth Gravity FieldMathematical and Physical Fundamentals of Navigation and Positioning with Earth's Natural Fields10.1007/978-981-97-5524-0_3(71-111)Online publication date: 2-Oct-2024
  • (2023)Missing the city for buildings? A critical review of pan-scalar map generalization and design in contemporary zoomable mapsInternational Journal of Cartography10.1080/23729333.2022.21534679:2(255-285)Online publication date: 10-Jan-2023
  • (2022)Multiscale Visualization: A Structured Literature AnalysisIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310938728:12(4918-4929)Online publication date: 1-Dec-2022
  • (2019)Evaluating Pan and Zoom Timelines and SlidersProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300786(1-12)Online publication date: 2-May-2019
  • (2019)Evaluating interactive data systemsThe VLDB Journal10.1007/s00778-019-00589-2Online publication date: 13-Nov-2019
  • (2018)Evaluating Interactive Data SystemsProceedings of the 2018 International Conference on Management of Data10.1145/3183713.3197386(1637-1644)Online publication date: 27-May-2018
  • (2018)TopoTextProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173611(1-13)Online publication date: 21-Apr-2018
  • (2018)Data Flow Analysis and Visualization for Spatiotemporal Statistical Data without Trajectory InformationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2017.266614624:3(1287-1300)Online publication date: 1-Mar-2018
  • (2017)TopoGroupsProceedings of the 2017 CHI Conference on Human Factors in Computing Systems10.1145/3025453.3025801(2940-2951)Online publication date: 2-May-2017
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