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

2. 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

3. 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

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

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

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

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

8. Asynchronous collaboration History mechanisms –Trails (movement) –Comments

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

10. Conclusions Independent views Asynchronous collaboration Group dynamics Representation