1. Simfo Marco Adelfio, Dan Bucatanschi, Bo Liu, Nick Violi

2. Virtual Incident Management Training Developed by UMD CATT Lab

3. Problem Description Emergency response personnel participate in large-scale scenarios Goal: train participants to do their jobs well and cooperate effectively But – how to evaluate them?

4. Simulate Incident Scenario MySQL DB: mapping between object ID’s and names, attributes XML log file: interaction, communication, movement Summarize and visualize information based on training objective Local copy of MySQL DB Extract relevant info., e.g., interactions Data Flow GraphML

5. Visualization Ideas Network Graph ◦ Interactions derived from event data ◦ Person/Person interactions ◦ Person/Object interactions Filter Options ◦ By type of node (person, object, vehicle) ◦ By interaction type or object type ◦ By time period Detail View ◦ Provide details about users or objects on demand

6. DEMO

7. Future Work Timeline Enhanced network graph (e.g., vary edge widths) Advanced filters Extract more attributes from game log Map to track user movement Application to other virtual world environments