WorkSpaces cs5984: Information Visualization Chris North

Quiz 2 types of 3D data: surface data volume 2 ways to render: ray tracing projection Navigation: 6 dof, zoom Transparency slicing

Where are we? Information Types: Multi-D 1D 2D Hierarchies/Trees Networks/Graphs Document collections 3D Topics: Design Principles Empirical Evaluation Java Development Visual Overviews Multiple Views Peripheral Views Workspaces Debates Vis Lies

Visualization Workspaces Scientific visualization Data management Data processing Flexibility

Data Flow Upson, “AVS” Christa, Jun

Personal Workspaces Task management Personal information management (PIM) Integrate visualization tasks with other tasks Problems with standard Windows approach Documents, applications, windows, icons in folders, icons on desktop, icons on start bar, icons in start menu, … ? Task switching difficult (multiple windows / task) Too much time spent managing windows –opening, closing, moving, resizing, iconifying, maximizing, rearranging, … Desktop overloaded, doesn’t scale up No relationships between windows?

Elastic Windows Merge file system and window system Hierarchical tiled windows (treemap?) Elastic resizing (fisheye) Kandogan

Elastic Windows

3D Task Management Robertson, “Task Gallery” Supriya, Varun

Win3D Quake for personal information management Clockwise3d.com Demo?

Genex Task-based history keeping and transfer Linking views (Snap) Data centricity (Visage) Elastic tiled windows (EW) Visual Macros … Shneiderman et al Demo

Future Happy Thanksgiving Tues 27: Debates, 2D vs 3D Kobsa, “Empirical comparison of comm infovis systems” » kunal, zhiping Thurs 29: How (not) to lie with visualization Other fun stuff? Dec 7: ACM CHI short papers due Dec 18: Project Final Paper due

Final Project Paper System paper: Introduction Problem, motivation, data Related work (refs) Your Solution Visualization, UI Pictures! Examples, Scenarios Analysis User feedback? Implementation Limitations, Future work Conclusions contributions References Examples: Snap, Lifelines Evaluation paper: Introduction Question, motivation Related work (refs) Experiment Pilot study? Ind. & Dep. Vars Procedure, materials Pictures Results & Analysis Charts Limitations, Future work Conclusions lessons learned References Examples: periph vis, data mountain Max 8 pages!

Project Presentations Dec 4: Dec 6: Dec 11:

Projects Visualization in the periphery - evaluation »David, Christa, Ali, Jon Visualizing Multi-D functions »Reenal, Priya, Mrinmayee Visualization of data structures – evaluation »Kunal, Vikrant, Anuj Snap-together visualization »Rohit, Varun, Jeevak, Atul Visual Break-down analysis with Financial data »Ganesh, Anusha, Muthukumar, Sandeep Human-eye view »Alex, Qiang, Ming, Vishal, Ahmed Bioinformatics »Quoc, Mudita, Dhananjay Online chat/video-conference visualization (virtual school) »Mahesh, Ben, Samal, Kuljeet, Harsha, Parool Digital libraries »Jun, Supriya, Abhishek, Anil Maps and in-vehicle interfaces »Ying, Xueqi, Zhiping, Rui Dec 4 Dec 6 Dec 11

Homework 2 Results Priority order of data attrs: »Time »Location/geography »People »Travel mode Overview first, … Approaches: Maps + arcs Time lines, time vs location 3d: Map+time