1 / 24

Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays

Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays. C. Ahlberg & B. Shneiderman (1994). Goal: Support Browsing. Rapid filtering Progressive refinement Continuous reformulation of goals Visual scanning. Principles of Direct Manipulation.

chaka
Télécharger la présentation

Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Visual Information Seeking:Tight Coupling of Dynamic Query Filters with Starfield Displays C. Ahlberg & B. Shneiderman (1994) David Sturtz | INFO 780 Information Visualization

  2. Goal: Support Browsing • Rapid filtering • Progressive refinement • Continuous reformulation of goals • Visual scanning David Sturtz | INFO 780 Information Visualization

  3. Principles ofDirect Manipulation • Visual representation of the world in action • Rapid, incremental, and reversible actions • Selection by pointing • Immediate and continuous display of results David Sturtz | INFO 780 Information Visualization

  4. Visual Information Seeking Interaction Methods • Dynamic Query Filters • Starfield Displays • Tight Coupling David Sturtz | INFO 780 Information Visualization

  5. Dynamic Query Filters • Sliders & buttons used to reduce items in result set • Dynamic HomeFinder • Dynamic Periodic Table David Sturtz | INFO 780 Information Visualization

  6. Dynamic HomeFinder David Sturtz | INFO 780 Information Visualization

  7. Dynamic Periodic Table of Elements David Sturtz | INFO 780 Information Visualization

  8. Dynamic Query Filters • Alphaslider for selection of text items David Sturtz | INFO 780 Information Visualization

  9. Starfield Displays • Useful when no natural mapping exists • Scatterplot + Selection + Zooming David Sturtz | INFO 780 Information Visualization

  10. Tight Coupling • Interface design principles • Reveal the software state • Constrains user from erroneous or useless actions • Comprehensible & consistent affordances • Rapid, incremental, reversible interactions • Continuous display • Output-is-input • Progressive refinement • Details on demand David Sturtz | INFO 780 Information Visualization

  11. FilmFinder David Sturtz | INFO 780 Information Visualization

  12. FilmFinder David Sturtz | INFO 780 Information Visualization

  13. FilmFinder David Sturtz | INFO 780 Information Visualization

  14. Spotfire • Founded by Ahlberg in 1996 • Provides “interactive, visual data analytics applications and services” David Sturtz | INFO 780 Information Visualization

  15. Spotfire David Sturtz | INFO 780 Information Visualization

  16. Cited By • Enhanced Dynamic Queries via Movable FiltersFishkin & Stone (1995) • Starfield displays • “Magic Lenses” allow: • More complex queries • Display of missing information • Eventually, fuzzy matching David Sturtz | INFO 780 Information Visualization

  17. Magic Lenses David Sturtz | INFO 780 Information Visualization

  18. Magic Lenses - AND David Sturtz | INFO 780 Information Visualization

  19. Magic Lenses - OR David Sturtz | INFO 780 Information Visualization

  20. Magic Lenses – Missing Data David Sturtz | INFO 780 Information Visualization

  21. Cited By • Visage: A User Interface Environment for Exploring InformationRoth et al. (1996) • Visage now being developed by Maya design group • Interface to SAGE graphics generator • Development focused on military logistics planning systems David Sturtz | INFO 780 Information Visualization

  22. Visage David Sturtz | INFO 780 Information Visualization

  23. Briefly Mentioned By • Visualising Semantic Spaces and Author Co-Citation Networks in Digital LibrariesC. Chen (1999) • “Spatial metaphors are by far the most popular design principle for information visualisation,” • Information Retrieval on the Web M. Kobayashi & K. Takeda (2000) • Literature Review David Sturtz | INFO 780 Information Visualization

  24. Image Sources • http://www.cs.umd.edu/hcil/spotfire/ • http://www.maya.com/visage/base/scenario.html • http://spotfire.com/products/decisionsite_posters.cfm • http://www.sims.berkeley.edu/courses/ is247/s02/lectures/fishkin-lenses-queries.ppt • http://www.sapdesignguild.org/community/book_people/visualization/controls/alphaslider.htm David Sturtz | INFO 780 Information Visualization

More Related