ContextuWall

Peer collaboration using (large) displays

Matthias Klapperstuck, Tobias Czauderna, Cagatay Goncu, Jaroslaw Glowacki, Tim Dwyer, Falk Schreiber, Kim Marriott

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

    4 Citations (Scopus)

    Abstract

    The emerging field of Immersive Analytics investigates how novel display and interaction technologies can enable people to visualise and analyse data and complex information. In this paper, we present ContextuWall, a system for interactive local and remote collaboration using touch and mobile devices as well as displays of various sizes. The system enables groups of users located on different sites to share content to a jointly used virtual desktop which is accessible over a secured network. This virtual desktop can be shown on different large displays simultaneously, taking advantage of their high resolution. To enable users to intuitively share, arrange as well as annotate image content, a purpose-built client software has been built and can easily be adapted with plug-ins for existing data analytics software. We show exemplary use cases and describe the system architecture and its implementation.

    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
    DOIs
    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
    http://www.bdva.net/2016/

    Conference

    ConferenceInternational Symposium on Big Data Visual Analytics (BDVA 2016)
    Abbreviated titleBDVA'16
    CountryAustralia
    CitySydney
    Period22/11/1625/11/16
    OtherBDVA 2016 : 2nd International Symposium on Big Data Visual Analytics
    Internet address

    Keywords

    • Collaboration
    • ContextuWall
    • Immersive Analytics
    • Interaction
    • Large displays
    • Touch display
    • Visualisation

    Cite this

    Klapperstuck, M., Czauderna, T., Goncu, C., Glowacki, J., Dwyer, T., Schreiber, F., & Marriott, K. (2016). ContextuWall: Peer collaboration using (large) displays. In K. Klein, & J. Heinrich (Eds.), 2016 Big Data Visual Analytics (BDVA 2016): Sydney, Australia, 22 – 25 November 2016 [Proceedings] [7787047] Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BDVA.2016.7787047
    Klapperstuck, Matthias ; Czauderna, Tobias ; Goncu, Cagatay ; Glowacki, Jaroslaw ; Dwyer, Tim ; Schreiber, Falk ; Marriott, Kim. / ContextuWall : Peer collaboration using (large) displays. 2016 Big Data Visual Analytics (BDVA 2016): Sydney, Australia, 22 – 25 November 2016 [Proceedings]. editor / Karsten Klein ; Julian Heinrich. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2016.
    @inproceedings{6b739a1b5e7843d38abb4bbe8853e8a5,
    title = "ContextuWall: Peer collaboration using (large) displays",
    abstract = "The emerging field of Immersive Analytics investigates how novel display and interaction technologies can enable people to visualise and analyse data and complex information. In this paper, we present ContextuWall, a system for interactive local and remote collaboration using touch and mobile devices as well as displays of various sizes. The system enables groups of users located on different sites to share content to a jointly used virtual desktop which is accessible over a secured network. This virtual desktop can be shown on different large displays simultaneously, taking advantage of their high resolution. To enable users to intuitively share, arrange as well as annotate image content, a purpose-built client software has been built and can easily be adapted with plug-ins for existing data analytics software. We show exemplary use cases and describe the system architecture and its implementation.",
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    author = "Matthias Klapperstuck and Tobias Czauderna and Cagatay Goncu and Jaroslaw Glowacki and Tim Dwyer and Falk Schreiber and Kim Marriott",
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    Klapperstuck, M, Czauderna, T, Goncu, C, Glowacki, J, Dwyer, T, Schreiber, F & Marriott, K 2016, ContextuWall: Peer collaboration using (large) displays. in K Klein & J Heinrich (eds), 2016 Big Data Visual Analytics (BDVA 2016): Sydney, Australia, 22 – 25 November 2016 [Proceedings]., 7787047, IEEE, Institute of Electrical and Electronics Engineers, Piscataway, NJ, International Symposium on Big Data Visual Analytics (BDVA 2016), Sydney, Australia, 22/11/16. https://doi.org/10.1109/BDVA.2016.7787047

    ContextuWall : Peer collaboration using (large) displays. / Klapperstuck, Matthias; Czauderna, Tobias; Goncu, Cagatay; Glowacki, Jaroslaw; Dwyer, Tim; Schreiber, Falk; Marriott, Kim.

    2016 Big Data Visual Analytics (BDVA 2016): Sydney, Australia, 22 – 25 November 2016 [Proceedings]. ed. / Karsten Klein; Julian Heinrich. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, 2016. 7787047.

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

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    AU - Goncu, Cagatay

    AU - Glowacki, Jaroslaw

    AU - Dwyer, Tim

    AU - Schreiber, Falk

    AU - Marriott, Kim

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    N2 - The emerging field of Immersive Analytics investigates how novel display and interaction technologies can enable people to visualise and analyse data and complex information. In this paper, we present ContextuWall, a system for interactive local and remote collaboration using touch and mobile devices as well as displays of various sizes. The system enables groups of users located on different sites to share content to a jointly used virtual desktop which is accessible over a secured network. This virtual desktop can be shown on different large displays simultaneously, taking advantage of their high resolution. To enable users to intuitively share, arrange as well as annotate image content, a purpose-built client software has been built and can easily be adapted with plug-ins for existing data analytics software. We show exemplary use cases and describe the system architecture and its implementation.

    AB - The emerging field of Immersive Analytics investigates how novel display and interaction technologies can enable people to visualise and analyse data and complex information. In this paper, we present ContextuWall, a system for interactive local and remote collaboration using touch and mobile devices as well as displays of various sizes. The system enables groups of users located on different sites to share content to a jointly used virtual desktop which is accessible over a secured network. This virtual desktop can be shown on different large displays simultaneously, taking advantage of their high resolution. To enable users to intuitively share, arrange as well as annotate image content, a purpose-built client software has been built and can easily be adapted with plug-ins for existing data analytics software. We show exemplary use cases and describe the system architecture and its implementation.

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    Klapperstuck M, Czauderna T, Goncu C, Glowacki J, Dwyer T, Schreiber F et al. ContextuWall: Peer collaboration using (large) displays. In Klein K, Heinrich J, editors, 2016 Big Data Visual Analytics (BDVA 2016): Sydney, Australia, 22 – 25 November 2016 [Proceedings]. Piscataway, NJ: IEEE, Institute of Electrical and Electronics Engineers. 2016. 7787047 https://doi.org/10.1109/BDVA.2016.7787047