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
P. Heim, J. Ziegler, und S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), Volume 417 von CEUR Workshop Proceedings, Seite 49--58. Aachen, (2008)
P. Heim, J. Ziegler, und S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), Volume 417 von CEUR Workshop Proceedings, Seite 49--58. Aachen, (2008)
P. Heim, J. Ziegler, und S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW'08), Seite 49-58. CEUR-WS, (2008)
P. Heim, J. Ziegler, und S. Lohmann. Proceedings of the International Workshop on Interacting with Multimedia Content in the Social Semantic Web (IMC-SSW 2008), Volume 417 von CEUR-WS, Seite 49-58. (2008)