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UI for Big Data Visualization | Jonathan Stray | UX Week 2012

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UI for Big Data Visualization | Jonathan Stray | UX Week 2012

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Visualization is great way to understand data, but it breaks down when the data gets big. Simply plotting everything to the screen won’t work, because there isn’t enough screen real estate, interactions slow to a crawl, and human working memory isn’t up to the task anyway. Big data requires specific interaction techniques for visual exploration, such as filtering, summarization, and context. We’ll go over some basic principles, and I’ll show examples of recent systems, including our work on the Overview Project, a system for visual exploration of huge unstructured document sets.

Visualization is great way to understand data, but it breaks down when the data gets big. Simply plotting everything to the screen won’t work, because there isn’t enough screen real estate, interactions slow to a crawl, and human working memory isn’t up to the task anyway. Big data requires specific interaction techniques for visual exploration, such as filtering, summarization, and context. We’ll go over some basic principles, and I’ll show examples of recent systems, including our work on the Overview Project, a system for visual exploration of huge unstructured document sets.

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UI for Big Data Visualization | Jonathan Stray | UX Week 2012

  1. interfaces for big data visualization jonathan stray overview project associated press
  2. Ben Fry, Computational Information Design
  3. visualization extends perception
  4. “Visualization allows people to offload cognition to the perceptual system, using carefully designed images as a form of external memory. The human visual system is a very high- bandwidth channel to the brain, Tamara Munzner with a significant amount of processing occurring in parallel and at the pre-conscious level.”
  5. a visualization turns something you want to find into something you can see
  6. clusters outliers extents correlations
  7. work with human perception
  8. work with human senses work with human memory work with human cognition
  9. you have never seen a violin. perception involves interactively directing narrow attention
  10. don’t show it all. (you can’t anyway)
  11. filter
  12. summarize
  13. categories = “distance metric” + clustering algorithm d(x, y) ≥ 0 d(x, x) = 0 d(x, y) = d(y, x) d(x, z) ≤ d(x, y) + d(y, z) k-means single link hierachical
  14. annotate
  15. snapshots tags notes history
  16. demo the overview project overview.ap.org
  17. the world does not spring magically into our heads. neither does big data. Interface extends perception. thanks @jonathanstray

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