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cs5984: Information Visualization

cs5984: Information Visualization. Chris North GTA: Purvi Saraiya Infovis meister: Nathan. What is Information Visualization?. The use of computer-supported, interactive, visual representations of abstract data to amplify cognition. The Big Problem. Web,books, papers, game scores,

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cs5984: Information Visualization

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  1. cs5984: Information Visualization Chris North GTA: Purvi Saraiya Infovis meister: Nathan

  2. What is Information Visualization? • The use of computer-supported, interactive, visual representations of abstract data to amplify cognition

  3. The Big Problem Web,books, papers, game scores, Scientific data, Biotech, Shopping People Stock/finance News Human Data Data Transfer How? Vision: 100 MB/s Ears: <100 b/s Telepathy Haptic/tactile Smell taste

  4. Human Vision • Highest bandwidth sense • Fast, parallel • Pattern recognition • Pre-attentive • Extends memory and cognitive capacity • (Multiplication test) • People think visually Impressive. Lets use it!

  5. Which state has highest Income? • Relationship between Income and Education? • Outliers?

  6. College Degree % Per Capita Income

  7. What if you could only see 1 state’s data at a time? (e.g. Census Bureau’s website) • What if I read the data to you?

  8. Find the green square?

  9. History: Static Graphics

  10. Interactive Graphics • Homefinder

  11. More than just “data transfer” • Support the ability to glean higher level knowledge from the data • Learn = data  knowledge Insight!

  12. What’s the Big Deal?

  13. Presentation is everything!

  14. Optimization: My Philosophy • Computer • Serial • Symbolic • Static • Deterministic • Exact • Binary, 0/1 • Computation • Programmed • Follow instructions • Amoral • Human • Parallel • Visual • Dynamic • Non-deterministic • Fuzzy • Gestalt, whole, patterns • Understanding • Free will • Creative • Moral Visualization = the best of both Impressive computation + impressive cognition

  15. You will learn how to: * • Design visual, interactive representations • Critique existing designs • Development visualization software • Empirically evaluate designs An HCI focus • A visualization = a user interface for data

  16. Related Courses • Scientific Visualization (ESM4714) • Computer Graphics (4204, 6xxx) • Usability Engineering (5714) • Research Methods! (5014) • Model & Theories of HCI (5724) • User Interface Software (5984) • Info Storage & Retrieval (5604) • Databases (5614)

  17. Course Mechanics • Grading: • 10% Paper presentation & discussion • 30% Homeworks • 60% Project • Format: • Research class • Read research papers • Discussion • Contribute to research, Project! • dude.cs.vt.edu

  18. Research Class • Creativity • No “right” answer • Reasoning/argument is more important • Self motivation • Open ended • Contribute to the state-of-the-art • Jump start for thesis research

  19. Research = Learning the state-of-the-art + Creativity (Design) + Science (Measurement,Modeling) + Dissemination = project

  20. HW #1 • Due sept 6, thurs • Find some data • 104c mcbryde • Spotfire, tablelens(eureka), parallel coordinates (xmdvtool), star coordinates (stardeck). • Pick 2 • What you learned about the data? 1 pg • Comparison of the 2 tools. 1pg • Purvi will give demo on Friday, and hours

  21. project • Build a new visualization • Evaluation • Groups 2-4 • Choose topic • Literature review • Build it! • Write a paper about it • Give a presentation.

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