Faceted metadata for image search and browsing Export

@inproceedings{citeulike:118644, abstract = {There are currently two dominant interface types for searching and browsing large image collections: keyword-based search, and searching by overall similarity to sample images. We present an alternative based on enabling users to navigate along conceptual dimensions that describe the images. The interface makes use of hierarchical faceted metadata and dynamically generated query previews. A usability study, in which 32 art history students explored a collection of 35,000 fine arts images, compares this approach to a standard image search interface. Despite the unfamiliarity and power of the interface (attributes that often lead to rejection of new search interfaces), the study results show that 90\% of the participants preferred the metadata approach overall, 97\% said that it helped them learn more about the collection, 75\% found it more flexible, and 72\% found it easier to use than a standard baseline system. These results indicate that a category-based approach is a successful way to provide access to image collections.}, address = {New York, NY, USA}, author = {Yee, Ka P. and Swearingen, Kirsten and Li, Kevin and Hearst, Marti}, booktitle = {CHI '03: Proceedings of the SIGCHI conference on Human factors in computing systems}, citeulike-article-id = {118644}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=642681}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/642611.642681}, doi = {10.1145/642611.642681}, isbn = {1-58113-630-7}, keywords = {chi-ui-ux, facets, information-foraging, search-engines, search-evaluation, search-interface, taxonomy}, location = {Ft. Lauderdale, Florida, USA}, pages = {401--408}, posted-at = {2007-10-05 21:09:19}, priority = {0}, publisher = {ACM}, title = {Faceted metadata for image search and browsing}, url = {http://dx.doi.org/10.1145/642611.642681}, year = {2003} }

TY - CONF ID - citeulike:118644 L3 - citeulike-article-id:118644 N2 - There are currently two dominant interface types for searching and browsing large image collections: keyword-based search, and searching by overall similarity to sample images. We present an alternative based on enabling users to navigate along conceptual dimensions that describe the images. The interface makes use of hierarchical faceted metadata and dynamically generated query previews. A usability study, in which 32 art history students explored a collection of 35,000 fine arts images, compares this approach to a standard image search interface. Despite the unfamiliarity and power of the interface (attributes that often lead to rejection of new search interfaces), the study results show that 90% of the participants preferred the metadata approach overall, 97% said that it helped them learn more about the collection, 75% found it more flexible, and 72% found it easier to use than a standard baseline system. These results indicate that a category-based approach is a successful way to provide access to image collections. CY - Ft. Lauderdale, Florida, USA SN - 1-58113-630-7 AD - New York, NY, USA EP - 408 TI - Faceted metadata for image search and browsing PB - ACM T2 - CHI '03: Proceedings of the SIGCHI conference on Human factors in computing systems SP - 401 KW - chi-ui-ux KW - facets KW - information-foraging KW - search-engines KW - search-evaluation KW - search-interface KW - taxonomy AU - Yee, Ka AU - Swearingen, Kirsten AU - Li, Kevin AU - Hearst, Marti PY - 2003/// UR - http://dx.doi.org/10.1145/642611.642681 ER -