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Lecture 10: Interaction and Analysis Intro

Lecture 10: Interaction and Analysis Intro. October 12, 2010 COMP 150-12 Topics in Visual Analytics. The Number Scrabble Game!. The Number Scrabble Game!. Discussion. What worked? What did you miss? Is this a good visualization?. Lecture Outline. Decision Matrix (.

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Lecture 10: Interaction and Analysis Intro

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  1. Lecture 10:Interaction and AnalysisIntro October 12, 2010 COMP 150-12Topics in Visual Analytics

  2. The Number Scrabble Game! The Number Scrabble Game!

  3. Discussion • What worked? • What did you miss? • Is this a good visualization?

  4. Lecture Outline Decision Matrix ( • Interaction and Analysis • Definition • Interaction with data and problem • Relationship between interaction and problem-solving • Types of analysis problems • Analytical methods • Interaction with visual interfaces • Basic interaction types • Sample interaction methods • Interaction with other people • Collaborative analysis (CSCW) • Can interaction exist without visualization? • Design flow of interactive visualization tools

  5. Define Interaction • Methods by which humans create knowledge through the manipulation of an interface. • Low level: refers to the set of controls provided to the user to manipulate an interface and the relationship between the user and that interface. • High level: interplay between human and problem space. It is a cognitive act that is enabled by computational tools, but it does not take place exclusively within them (or through the use of a single tool).

  6. Interaction and Analysis • Growing belief that (interaction == analysis) • Interaction is an externalization of thought • Known as the “analytic discourse” • Knowledge is constructed, tested, refined, and shared through the interactive manipulation of a visual interface.

  7. Interaction as a Reasoning Aid • The general ideas: • “Interaction is the inquiry and the Analysis!” • Interaction is situated in the context of some problem or goal-directed activity. • In the process of inquiry, users’ contexts help them identify relevant concepts and linkthem into appropriate structures. • The more ways a user can ‘touch’ their data (by changing their form or exploring them from different perspectives), the more insight will accumulate. • Brings together background contexts and current observations. • Known as “situated cognition”

  8. Interaction as Distributed Cognition:Tower of Hanoi 1) only one disk can be transferred at a time; 2) a disk can only be transferred to a pole on which it will be the largest; 3) only the largest disk on a pole can be transferred to another pole.

  9. How do you play Tetris? http://www.youtube.com/watch?v=vZ7-DKCY2Mo

  10. How do you play Tetris?

  11. Epistemic Action • Different from “pragmatic actions” • Defined as interactions that moves a person and his analysis closer to the desired destination. • Epistemic actions • Enable humans to make use of environmental structures or to create structures in the environment that link with internal structures. • The purpose of some actions is not for the effect they have on the environment but for the effect they have on the humans.

  12. Problems for Evaluation • In the HCI community, a good interface is often judged by accuracyand speedof completing a task. • In the context of epistemic actions, do those metrics make sense?

  13. Questions?

  14. 1 2 3 4 5 6 7 8 9

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