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WorkSpaces

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Linking views (Snap) Data centricity (Visage) Elastic tiled windows (EW) Visual Macros ... Snap-together visualization. Rohit, Varun, Jeevak, Atul ... – PowerPoint PPT presentation

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Title: 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
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