The sampling lens: Making sense of saturated visualisations

Geoffrey Ellis, Enrico Bertini, Alan Dix

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Information visualisation systems frequently have to deal with large amounts of data and this often leads to saturated areas in the display with considerable overplotting. This paper introduces the Sampling Lens, a novel tool that utilizes random sampling to reduce the clutter within a moveable region, thus allowing the user to uncover any potentially interesting patterns and trends in the data while still being able to view the sample in context. We demonstrate the versatility of the tool by adding sampling lenses to scatter and parallel co-ordinate visualisations. We also consider some implementation issues and present initial user evaluation results.

    Original languageEnglish (US)
    Title of host publicationCHI'05 Extended Abstracts on Human Factors in Computing Systems, CHI EA'05
    Pages1351-1354
    Number of pages4
    DOIs
    StatePublished - 2005
    EventConference on Human Factors in Computing Systems, CHI EA 2005 - Portland, OR, United States
    Duration: Apr 2 2005Apr 7 2005

    Publication series

    NameConference on Human Factors in Computing Systems - Proceedings

    Other

    OtherConference on Human Factors in Computing Systems, CHI EA 2005
    CountryUnited States
    CityPortland, OR
    Period4/2/054/7/05

    Keywords

    • Clutter
    • Density reduction
    • Information visualisation
    • Lens
    • Overplotting
    • Random sampling
    • Sampling

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Graphics and Computer-Aided Design

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