1 i247: Information Visualization and Presentation Marti Hearst April 28, 2008.
Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.
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Transcript of Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.
![Page 1: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/1.jpg)
Measuring Information Architecture
CHI 01 Panel Position StatementMarti HearstUC Berkeley
![Page 2: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/2.jpg)
A Simple Taxonomy
Catalog Sites
Collections
Web-based Information
Systems
Web-Presence
Sites
Service-Oriented
Sites
low
low
high
high
Complexity of Applications
Complexity of Content
From Mecca et al.,WebDB’99
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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
Information Architecture
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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
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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
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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?
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www.epicurious.com
![Page 8: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/8.jpg)
www.epicurious.com
![Page 9: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/9.jpg)
www.epicurious.com
![Page 10: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/10.jpg)
www.epicurious.com
![Page 11: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/11.jpg)
Metadata usage in Epicurious
PrepareCuisineIngredient Dish
Recipe
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Metadata usage in Epicurious
PrepareCuisineIngredient Dish
PrepareCuisineDishISelect
![Page 13: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/13.jpg)
Metadata usage in Epicurious
PrepareCuisineIngredient Dish
I >
Group by
PrepareCuisineDish
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Metadata usage in Epicurious
PrepareCuisineIngredient Dish
PrepareCuisineDishI >
Group by
![Page 15: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/15.jpg)
Metadata usage in Epicurious
PrepareCuisineIngredient Dish
PrepareCuisineDishI >
Group by
PrepareCuisineISelect
![Page 16: Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.](https://reader036.fdocuments.in/reader036/viewer/2022082816/56649d3a5503460f94a15786/html5/thumbnails/16.jpg)
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
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Epicurious Metadata Usage
Problem: lacks integration with search
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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?
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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
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Closing Thought
A terrific challenge: How to put more science into HCI?