Collaborative Interaction in Virtual Environments Trevor J. Dodds Roy A. Ruddle Visualization and Virtual Reality Research Group School of Computing University.

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Presentation transcript:

Collaborative Interaction in Virtual Environments Trevor J. Dodds Roy A. Ruddle Visualization and Virtual Reality Research Group School of Computing University of Leeds

e-Science and CVEs e-Science –Globally distributed resources –Communication between systems (Internet) CVEs –Real-time, visual feedback for e-Science –Crude collaborative interaction (at present) –Example applications Urban planning Data visualization

Example applications Urban planningData visualization The process 1.Conceptual / detailed design 2.Consultation 3.Planning permission 1.Collect raw data 2.Construct modules/pipeline 3.Choose parameters CVE needs to support 1.Design modification 2.Consultation 3.Design review 1.Data exploration vs. presentation 2.Modify parameters and/or representation

Interaction in CVEs ViewsModify Rendering attributes (e.g. lighting) Content (objects; polygons) Shared Independent Urban planning Data visualization

Interaction in CVEs ViewsModify Rendering attributes (e.g. lighting) Content (objects; polygons) SharedDesign review IndependentConsultationDesign modification Urban planning Data visualization

Interaction in CVEs ViewsModify Rendering attributes (e.g. lighting) Content (objects; polygons) SharedDesign reviewData presentation IndependentConsultationDesign modification Data exploration Urban planning Data visualization

CVE interaction research at Leeds Independent views –Asynchronous collaboration –Group dynamics –Using urban planning/data visualization case studies

Asynchronous collaboration History mechanisms –Trails (movement) –Comments

Group dynamics Side channels of communication Tightly-coupled interaction; body language; Synthetic faces (Hogg et al.) e.g., using Covisa-G (Brodlie et al.)

Conclusions Independent views Asynchronous collaboration Group dynamics Representation