WorkSpaces

1
WorkSpaces

• cs5984 Information Visualization
• Chris North

2
Quiz

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

3
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

4
Visualization Workspaces

• Scientific visualization
• Data management
• Data processing
• Flexibility

5
Data Flow

• Upson, AVS
• Christa, Jun

6
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, doesnt scale up
• No relationships between windows?

7
Elastic Windows

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

8
Elastic Windows
9
3D Task Management

• Robertson, Task Gallery
• Supriya, Varun

10
Win3D

• Quake for personalinformation management
• Clockwise3d.com
• Demo?

11
Genex

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

12
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

13
Final Project Paper
Max 8 pages!

• 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

• 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

14
Project Presentations

• Dec 4
• Dec 6
• Dec 11

15
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

Dec 4
Dec 6
Dec 11
16
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 Maptime