ContextuWall: Peer collaboration using (large) displays

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

doi:10.1109/BDVA.2016.7787047

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 proceeding › Conference Paper › Research › peer-review

9 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 language	English
Title of host publication	2016 Big Data Visual Analytics (BDVA 2016)
Subtitle of host publication	Sydney, Australia, 22 – 25 November 2016 [Proceedings]
Editors	Karsten Klein, Julian Heinrich
Place of Publication	Piscataway, NJ
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Number of pages	8
ISBN (Electronic)	9781509052721
ISBN (Print)	9781509052738
DOIs	https://doi.org/10.1109/BDVA.2016.7787047
Publication status	Published - 16 Dec 2016
Event	International Symposium on Big Data Visual Analytics - Sydney, Australia Duration: 22 Nov 2016 → 25 Nov 2016 Conference number: 2nd http://www.bdva.net/2016/

Conference

Conference	International Symposium on Big Data Visual Analytics
Abbreviated title	BDVA 2016
Country/Territory	Australia
City	Sydney
Period	22/11/16 → 25/11/16
Other	BDVA 2016 : 2nd International Symposium on Big Data Visual Analytics
Internet address	http://www.bdva.net/2016/

Keywords

Collaboration
ContextuWall
Immersive Analytics
Interaction
Large displays
Touch display
Visualisation

Access to Document

10.1109/BDVA.2016.7787047

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] Article 7787047 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/BDVA.2016.7787047

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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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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, Sydney, New South Wales, Australia, 22/11/16. https://doi.org/10.1109/BDVA.2016.7787047

ContextuWall: Peer collaboration using (large) displays. / Klapperstuck, Matthias; Czauderna, Tobias; Goncu, Cagatay et al.
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 proceeding › Conference Paper › Research › peer-review

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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 doi: 10.1109/BDVA.2016.7787047

ContextuWall: Peer collaboration using (large) displays

Abstract

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Keywords

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