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Dive in!: enabling progressive loading for real-time navigation of data visualizations

Published: 26 April 2014 Publication History

Abstract

We introduce Splash, a framework reducing development overhead for both data curators and visualization developers of client-server visualization systems. Splash streamlines the process of creating a multiple level-of-detail version of the data and facilitates progressive data download, thereby enabling real-time, on-demand navigation with existing visualization toolkits. As a result, system responsiveness is increased and the user experience is improved. We demonstrate the benefit of progressive loading for user interaction on slower networks. Additionally, case study evaluations of Splash with real-world data curators suggest that Splash supports iterative refinement of visualizations and promotes the use of exploratory data analysis.

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Cited By

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  • (2023)A Survey on Progressive VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.334664130:9(6447-6467)Online publication date: 25-Dec-2023
  • (2023)BiVis: Interactive and Progressive Visualization of Billions (and Counting) ItemsHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_4(65-85)Online publication date: 25-Aug-2023
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    cover image ACM Conferences
    CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2014
    4206 pages
    ISBN:9781450324731
    DOI:10.1145/2556288
    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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    Publication History

    Published: 26 April 2014

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    Author Tags

    1. client-server
    2. data visualization
    3. progressive-loading
    4. real-time interaction

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    CHI '14
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    CHI '14: CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2014
    Ontario, Toronto, Canada

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    CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    CHI '25
    CHI Conference on Human Factors in Computing Systems
    April 26 - May 1, 2025
    Yokohama , Japan

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    Cited By

    View all
    • (2023)A Survey on Progressive VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2023.334664130:9(6447-6467)Online publication date: 25-Dec-2023
    • (2023)BiVis: Interactive and Progressive Visualization of Billions (and Counting) ItemsHuman-Computer Interaction – INTERACT 202310.1007/978-3-031-42283-6_4(65-85)Online publication date: 25-Aug-2023
    • (2022)Studying Early Decision Making with Progressive Bar ChartsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.3209426(1-11)Online publication date: 2022
    • (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
    • (2022)Impact of Cognitive Biases on Progressive VisualizationIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.305101328:9(3093-3112)Online publication date: 1-Sep-2022
    • (2022)Cutting-Edge Practical Research on Generative Design, IoT and Digital TwinsInnovation in Construction10.1007/978-3-030-95798-8_7(117-145)Online publication date: 24-Mar-2022
    • (2020)Iris: Amortized, Resource Efficient Visualizations of Voluminous Spatiotemporal Datasets2020 IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)10.1109/BDCAT50828.2020.00003(47-56)Online publication date: Dec-2020
    • (2019)Bento Box: An Interactive and Zoomable Small Multiples Technique for Visualizing 4D Simulation Ensembles in Virtual RealityFrontiers in Robotics and AI10.3389/frobt.2019.000616Online publication date: 23-Jul-2019
    • (2019)FalconProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300924(1-11)Online publication date: 2-May-2019
    • (2019)Kyrix: Interactive Pan/Zoom Visualizations at ScaleComputer Graphics Forum10.1111/cgf.1370838:3(529-540)Online publication date: 10-Jul-2019
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