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Information Visualization: Enhancing Cognitive Understanding

Learn how to design interactive visual representations to amplify cognition. Explore the relationship between income and education, outliers in data, and more. Course mechanics and research focus provided.

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Information Visualization: Enhancing Cognitive Understanding

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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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