ImAxes: immersive axes as embodied affordances for interactive multivariate data visualisation

Maxime Cordeil, Andrew Cunningham, Tim Dwyer, Bruce H Thomas, Kim Marriott

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    81 Citations (Scopus)

    Abstract

    We introduce ImAxes, an immersive system for exploring multivariate data using fluid, modeless interaction. The basic interface element is an embodied data axis. The user can manipulate these axes like physical objects in the immersive environment and combine them into sophisticated visualisations. The type of visualisation that appears depends on the proximity and relative orientation of the axes with respect to one another, which we describe with a formal grammar. This
    straight-forward composability leads to a number of emergent visualisations and interactions, which we review, and then demonstrate with a detailed multivariate data analysis use case.
    Original languageEnglish
    Title of host publicationUIST'17
    Subtitle of host publicationProceedings of the 30th Annual ACM Symposium on User Interface Software and Technology
    EditorsJennifer Mankoff, Chris Harrison
    Place of PublicationNew York NY USA
    PublisherAssociation for Computing Machinery (ACM)
    Pages71-83
    Number of pages13
    ISBN (Electronic)9781450349819
    DOIs
    Publication statusPublished - Oct 2017
    EventACM Symposium on User Interface Software and Technology 2017 - Quebec City, Canada
    Duration: 22 Oct 201725 Oct 2017
    Conference number: 30th
    https://dl.acm.org/doi/proceedings/10.1145/3126594 (Main Proceedings)
    https://dl.acm.org/doi/proceedings/10.1145/3131785 (Adjunct Proceedings)

    Conference

    ConferenceACM Symposium on User Interface Software and Technology 2017
    Abbreviated titleUIST 2017
    CountryCanada
    CityQuebec City
    Period22/10/1725/10/17
    Internet address

    Cite this