Principles of categorized search result visualization
We are developing a set of search result visualization principles, based on the premise that consistent, comprehensible visual displays built on meaningful and stable classifications will better support user understanding of search results.
1. Provide overviews of large sets of results (100-1000+)
2. Organize overviews around meaningful categories
3. Clarify and visualize category structure
4. Tightly couple category labels to result list
5. Ensure that the full category information is available
6. Support multiple types of categories and visual presentations
7. Use separate facets for each type of category
8. Arrange text for scanning/skimming
9. Visually encode quantitative attributes on a stable visual structure
Q-tools The list below attempts to define a set of “Q-tools” that may be used to generate, sort, classify and perform operations on information. This is not intended to be an exhaustive list, but more of a starting point for discussion. I have also added some alternative names for each Q-tool. PrismA prism is a question that divides information into smaller groups. The purpose of a prism is to break down information into categories or subgroups. An example might be “What are the parts of this system?” Prisms are used extensively in scientific inquiry. They are also used in organization design to map the departments and sub-departments of a company. An example question used in this activity might be “What roles are required to deliver this functionality?” To create a prism, define a question that can be used to divide a unit of information into its constituent parts. Alternative names: Divider, separator, splitter, brancher.
extisp.icio.us images displays a random Yahoo images search result for each of a user's tag words (excluding those which they've only ever used once). extisp.icio.us text gives you a random textual scattering of a user's tags, sized according to the numbe
extisp.icio.us images displays a random Yahoo images search result for each of a user's tag words (excluding those which they've only ever used once). extisp.icio.us text gives you a random textual scattering of a user's tags, sized according to the numbe
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