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Browse and Search Patterns in a Digital Image Database

dc.contributor.authorFrost, Carolyn Oliviaen_US
dc.contributor.authorTaylor, Bradleyen_US
dc.contributor.authorNoakes, Annaen_US
dc.contributor.authorMarkel, Stephenen_US
dc.contributor.authorTorres, Deborahen_US
dc.contributor.authorDrabenstott, Karen M.en_US
dc.date.accessioned2006-09-11T17:14:23Z
dc.date.available2006-09-11T17:14:23Z
dc.date.issued2000-01en_US
dc.identifier.citationFrost, C. Olivia; Taylor, Bradley; Noakes, Anna; Markel, Stephen; Torres, Deborah; Drabenstott, Karen M.; (2000). "Browse and Search Patterns in a Digital Image Database." Information Retrieval 1(4): 287-313. <http://hdl.handle.net/2027.42/45984>en_US
dc.identifier.issn1386-4564en_US
dc.identifier.issn1573-7659en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45984
dc.description.abstractA prototype image retrieval system with browse and search capabilities was developed to investigate patterns of searching a collection of digital visual images, as well as factors, such as image size, resolution, and download speed, which affect browsing. The subject populations were art history specialists and non-specialists. Through focus group interviews, a controlled test, post-test interviews and an online survey, data was gathered to compare preferences and actual patterns of use in browsing and searching. While specialists preferred direct search to browsing, and generalists used browsing as their preferred mode, both user groups found each mode to play a role depending on information need, and found value in a system combining both browse and direct search. There were no significant differences in performance among the search modes of browse, search, and combined browse/search models when the quasi-controlled study tested the different modes.en_US
dc.format.extent449696 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherComputer Scienceen_US
dc.subject.otherData Structures, Cryptology and Information Theoryen_US
dc.subject.otherManagement of Computing and Information Systemsen_US
dc.subject.otherBrowsingen_US
dc.subject.otherDigital Imagesen_US
dc.subject.otherImage Retrievalen_US
dc.subject.otherUser Studiesen_US
dc.titleBrowse and Search Patterns in a Digital Image Databaseen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhilosophyen_US
dc.subject.hlbsecondlevelComputer Scienceen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.subject.hlbtoplevelHumanitiesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumSchool of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumSchool of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumSchool of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumSchool of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumSchool of Information, University of Michigan, Ann Arbor, MI, 48109, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45984/1/10791_2004_Article_252664.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1009979200555en_US
dc.identifier.sourceInformation Retrievalen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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