Supporting Document Triage via Annotation-Based Multi-Application Visualizations

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dc.contributorVirginia Tech. Department of Computer Science. Digital Library Research Laboratoryen
dc.contributor.authorBae, Soonilen
dc.contributor.authorKim, DoHyoungen
dc.contributor.authorMeintanis, Konstantinosen
dc.contributor.authorMoore, Michaelen
dc.contributor.authorZacchi, Annaen
dc.contributor.authorShipman, Frank M., IIIen
dc.contributor.authorHsieh, Haoweien
dc.contributor.authorMarshall, Cathyen
dc.contributor.departmentDigital Library Research Laboratoryen
dc.contributor.departmentComputer Scienceen
dc.date.accessed2014-10-07en
dc.date.accessioned2015-05-28T19:54:00Zen
dc.date.available2015-05-28T19:54:00Zen
dc.date.issued2010en
dc.description.abstractFor open-ended information tasks, users must sift through many potentially relevant documents, a practice we refer to as document triage. Normally, people perform triage using multiple applications in concert: a search engine interface presents lists of potentially relevant documents; a document reader displays their contents; and a third tool - a text editor or personal information management application is used to record notes and assessments. To support document triage, we have developed an extensible multi-application architecture that initially includes an information workspace and a document reader. An Interest Profile Manager infers users' interests from their interactions with the triage applications, coupled with the characteristics of the documents they are interacting with. The resulting interest profile is used to generate visualizations that direct users' attention to documents or parts of documents that match their inferred interests. The novelty of our approach lies in the aggregation of activity records across applications to generate fine-grained models of user interest.en
dc.description.sponsorshipNational Science Foundation (U.S.) - Grant No. DUE-0938074en
dc.description.sponsorshipNational Science Foundation (U.S.) - Grant No. DUE-0840715en
dc.format.extent10 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationS. Bae, Kim, D. H., Meintanis, K., Moore, M. J., Zacchi, A., Shipman, F., Hsieh, H., and Marshall, C., "Supporting Document Triage via Annotation-Based Multi-Application Visualizations", in ACM and IEEE Joint Conference on Digital Libraries, 2010.en
dc.identifier.urihttp://hdl.handle.net/10919/52766en
dc.identifier.urlhttp://www.csdl.tamu.edu/~shipman/papers/jcdl10.pdfen
dc.language.isoen_USen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectAnnotationsen
dc.subjectComputer applicationsen
dc.subjectVisualizationen
dc.subjectDocument triageen
dc.titleSupporting Document Triage via Annotation-Based Multi-Application Visualizationsen
dc.typeConference proceedingen
dc.type.dcmitypeTexten

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