%0 Journal Article %1 ofvisuallanguagescomputing2018contextuwall %A Klapperstueck, M. %A Czauderna, T. %A Goncu, C. %A Glowacki, J. %A Dwyer, T. %A Schreiber, F. %A Marriott, K. %D 2018 %J Journal of Visual Languages & Computing %K 2018 D04 sfbtrr161 %P 35-42 %R 10.1016/j.jvlc.2017.10.002 %T Contextuwall: Multi-site Collaboration Using Display Walls %U https://doi.org/10.1016/j.jvlc.2017.10.002 %V 46 %X The emerging field of Immersive Analytics investigates how novel display and interaction technologies can enable people to better explore and analyse data and complex information. Collaboration is a crucial aspect of Immersive Analytics. 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 developed 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.

@article{ofvisuallanguagescomputing2018contextuwall, abstract = {The emerging field of Immersive Analytics investigates how novel display and interaction technologies can enable people to better explore and analyse data and complex information. Collaboration is a crucial aspect of Immersive Analytics. 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 developed 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.}, added-at = {2020-03-06T14:52:31.000+0100}, author = {Klapperstueck, M. and Czauderna, T. and Goncu, C. and Glowacki, J. and Dwyer, T. and Schreiber, F. and Marriott, K.}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/25ce3d9115c32e215ab46c373f88467a6/leonkokkoliadis}, doi = {10.1016/j.jvlc.2017.10.002}, interhash = {12003a00d17f20a083eaffa8c2b859ce}, intrahash = {5ce3d9115c32e215ab46c373f88467a6}, journal = {Journal of Visual Languages & Computing}, keywords = {2018 D04 sfbtrr161}, pages = {35-42}, timestamp = {2020-03-06T13:52:31.000+0100}, title = {Contextuwall: Multi-site Collaboration Using Display Walls}, url = {https://doi.org/10.1016/j.jvlc.2017.10.002}, volume = 46, year = 2018 }