Browse and Search Patterns in a Digital Image Database
dc.contributor.author | Frost, Carolyn Olivia | en_US |
dc.contributor.author | Taylor, Bradley | en_US |
dc.contributor.author | Noakes, Anna | en_US |
dc.contributor.author | Markel, Stephen | en_US |
dc.contributor.author | Torres, Deborah | en_US |
dc.contributor.author | Drabenstott, Karen M. | en_US |
dc.date.accessioned | 2006-09-11T17:14:23Z | |
dc.date.available | 2006-09-11T17:14:23Z | |
dc.date.issued | 2000-01 | en_US |
dc.identifier.citation | Frost, 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.issn | 1386-4564 | en_US |
dc.identifier.issn | 1573-7659 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/45984 | |
dc.description.abstract | A 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.extent | 449696 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Computer Science | en_US |
dc.subject.other | Data Structures, Cryptology and Information Theory | en_US |
dc.subject.other | Management of Computing and Information Systems | en_US |
dc.subject.other | Browsing | en_US |
dc.subject.other | Digital Images | en_US |
dc.subject.other | Image Retrieval | en_US |
dc.subject.other | User Studies | en_US |
dc.title | Browse and Search Patterns in a Digital Image Database | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Philosophy | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Humanities | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | School of Information, University of Michigan, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationum | School of Information, University of Michigan, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationum | School of Information, University of Michigan, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationum | School of Information, University of Michigan, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationum | School of Information, University of Michigan, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationum | School of Information, University of Michigan, Ann Arbor, MI, 48109, USA | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/45984/1/10791_2004_Article_252664.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1023/A:1009979200555 | en_US |
dc.identifier.source | Information Retrieval | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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