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2006 IEEE Symposium On Visual Analytics Science And Technology
Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information
Baltimore, MD
October 31-November 02
ISBN: 1-4244-0591-2
| ASCII Text | x | ||
| P.E. Keel, "Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information," 2012 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 137-144, 2006 IEEE Symposium On Visual Analytics Science And Technology, 2006. | |||
| BibTex | x | ||
| @article{ 10.1109/VAST.2006.261415, author = {P.E. Keel}, title = {Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information}, journal ={2012 IEEE Conference on Visual Analytics Science and Technology (VAST)}, volume = {0}, year = {2006}, isbn = {1-4244-0591-2}, pages = {137-144}, doi = {http://doi.ieeecomputersociety.org/10.1109/VAST.2006.261415}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 IEEE Conference on Visual Analytics Science and Technology (VAST) TI - Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information SN - 1-4244-0591-2 SP137 EP144 A1 - P.E. Keel, PY - 2006 KW - indirect collaboration KW - collaborative visual analytics KW - remote-collaborative sense-making activity KW - graphical interface KW - task-relevant information KW - computational agent KW - spatial information organization KW - temporal information organization KW - indirect human computer interaction VL - 0 JA - 2012 IEEE Conference on Visual Analytics Science and Technology (VAST) ER - | |||
We introduce a visual analytics environment for the support of remote-collaborative sense-making activities. Team members use their individual graphical interfaces to collect, organize and comprehend task-relevant information relative to their areas of expertise. A system of computational agents infers possible relationships among information items through the analysis of the spatial and temporal organization and collaborative use of information. The computational agents support the exchange of information among team members to converge their individual contributions. Our system allows users to navigate vast amounts of shared information effectively and remotely dispersed team members to work independently without diverting from common objectives as well as to minimize the necessary amount of verbal communication
Index Terms:
indirect collaboration, collaborative visual analytics, remote-collaborative sense-making activity, graphical interface, task-relevant information, computational agent, spatial information organization, temporal information organization, indirect human computer interaction
Citation:
P.E. Keel, "Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information," vast, pp.137-144, 2006 IEEE Symposium On Visual Analytics Science And Technology, 2006
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