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Measuring Information Architecture CHI 01 Panel Position Statement

Measuring Information Architecture CHI 01 Panel Position Statement. Marti Hearst UC Berkeley. A Simple Taxonomy. high. Complexity of Content. low. low. high. Complexity of Applications. From Mecca et al., WebDB’99. Information Architecture.

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Measuring Information Architecture CHI 01 Panel Position Statement

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  1. Measuring Information ArchitectureCHI 01 Panel Position Statement Marti Hearst UC Berkeley

  2. A Simple Taxonomy high Complexity of Content low low high Complexity of Applications From Mecca et al., WebDB’99

  3. Information Architecture A View of Information Architecture (Newman & Landay. Dis 2000) • Information design • categories of information, labels • Navigation design • determine paths through information structure • Graphic design • visual presentation of content and navigation

  4. An Important IA Trend • Generating web pages from databases • Implications: • Web sites can adapt to user actions • Web sites can be instrumented • “An essential feature of a design environment is to give authors the possibility of evaluating the current network against the final adaptive system.” • Petrelli, Baggio, & Pezzulo, Adaptive Hypertext Design Environments: Putting Principles into Practice, AH 2000

  5. One way to measure • Analyze properties of existing sites • CHI ‘01 paper by Ivory, Sinha, & Hearst • Simple measures of surface properties can fairly accurately predict website ratings. • Have not yet analyzed site-level architecture

  6. Why measure? • To learn what works … and what doesn’t • To test hypotheses • My current interest: • How can an information architecture be designed to successfully convey scent during navigation?

  7. www.epicurious.com

  8. www.epicurious.com

  9. www.epicurious.com

  10. www.epicurious.com

  11. Ingredient Dish Cuisine Prepare Recipe Metadata usage in Epicurious

  12. Ingredient Dish Cuisine Prepare Select Dish Cuisine Prepare I Metadata usage in Epicurious

  13. Ingredient Dish Cuisine Prepare > Dish Cuisine Prepare Group by Metadata usage in Epicurious I

  14. Ingredient Dish Cuisine Prepare Dish Cuisine Prepare Group by Metadata usage in Epicurious > I

  15. Ingredient Dish Cuisine Prepare Dish Cuisine Prepare Group by Metadata usage in Epicurious > I Select I Cuisine Prepare

  16. Metadata Usage in Epicurious • Can choose category types in any order • But categories never more than one level deep • And can never use more than one instance of a category • Even though items may be assigned more than one of each category type • Items (recipes) are dead-ends • Don’t link to “more like this” • Not fully integrated with search

  17. Epicurious Metadata Usage Problem: lacks integration with search

  18. Questions I want to answer • How many facets are allowable? • Should facets be mixed and matched? • How much is too much? • How should groups of subhierarchies be revealed? • How should free-text search be integrated?

  19. How to measure this • Instrument the information architecture • Perform usability studies in the form of regression tests • Measure the results of the IA in use

  20. Closing Thought A terrific challenge: How to put more science into HCI?

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