TY - JOUR
T1 - ContextuWall
T2 - multi-site collaboration using display walls
AU - Klapperstueck, Matthias
AU - Czauderna, Tobias
AU - Goncu, Cagatay
AU - Glowacki, Jaroslaw
AU - Dwyer, Tim
AU - Schreiber, Falk
AU - Marriott, Kim
PY - 2018/6
Y1 - 2018/6
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85031401093&partnerID=8YFLogxK
U2 - 10.1016/j.jvlc.2017.10.002
DO - 10.1016/j.jvlc.2017.10.002
M3 - Article
AN - SCOPUS:85031401093
SN - 1045-926X
VL - 46
SP - 35
EP - 42
JO - Journal of Visual Languages and Computing
JF - Journal of Visual Languages and Computing
ER -