Blended UI controls for situated analytics

Neven A. M. ElSayed, Ross T. Smith, Kim Marriott, Bruce H. Thomas

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

    4 Citations (Scopus)


    This paper presents a context aware model for situated analytics, supporting a blended user interface. Our approach is a state-based model, allowing seamless transition between the physical space and information space during use. We designed the model to allow common user interface controls to work in tandem with the printed information on a physical object by adapting the operation and presentation based on a semantic matrix. We demonstrate the use of the model with a set of blended controls including; pinch zoom, menus, and details-on-demand. We analyze each control to highlight how the physical and virtual information spaces work in tandem to provide a rich interaction environment in augmented reality.

    Original languageEnglish
    Title of host publication2016 Big Data Visual Analytics (BDVA 2016)
    Subtitle of host publicationSydney, Australia, 22 – 25 November 2016 [Proceedings]
    EditorsKarsten Klein, Julian Heinrich
    Place of PublicationPiscataway, NJ
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Number of pages8
    ISBN (Electronic)9781509052721
    ISBN (Print)9781509052738
    Publication statusPublished - 16 Dec 2016
    EventInternational Symposium on Big Data Visual Analytics (BDVA 2016) - Sydney, Australia
    Duration: 22 Nov 201625 Nov 2016
    Conference number: 2nd


    ConferenceInternational Symposium on Big Data Visual Analytics (BDVA 2016)
    Abbreviated titleBDVA'16
    OtherBDVA 2016 : 2nd International Symposium on Big Data Visual Analytics
    Internet address


    • Augmented reality
    • Context-driven interaction
    • Immersive analytics
    • In-situ interaction
    • Interaction techniques
    • Situated analytics

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