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dc.contributor.authorChen, Hsinchun
dc.contributor.authorNunamaker, Jay F.
dc.contributor.authorOrwig, Richard E.
dc.contributor.authorTitkova, Olga
dc.date.accessioned2004-10-01T00:00:01Z
dc.date.available2010-06-18T23:26:23Z
dc.date.issued1998-08en_US
dc.date.submitted2004-10-01en_US
dc.identifier.citationInformation Visualization for Collaborative Computing 1998-08, 31(8):75-82 IEEE Computeren_US
dc.identifier.urihttp://hdl.handle.net/10150/105495
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractA prototype tool classifies output from an electronic meeting system into a manageable list of concepts, topics, or issues that a group can further evaluate. In an experiment with output from GroupSystems electronic meeting system, the tool's recall ability was comparable to that of a human facilitator, but took roughly a sixth of the time.
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectArtificial Intelligenceen_US
dc.subject.otherNational Science Digital Libraryen_US
dc.subject.otherNSDLen_US
dc.subject.otherArtificial intelligence laben_US
dc.subject.otherAI laben_US
dc.subject.otherGroupSystemsen_US
dc.titleInformation Visualization for Collaborative Computingen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalIEEE Computeren_US
refterms.dateFOA2018-08-21T12:46:43Z
html.description.abstractA prototype tool classifies output from an electronic meeting system into a manageable list of concepts, topics, or issues that a group can further evaluate. In an experiment with output from GroupSystems electronic meeting system, the tool's recall ability was comparable to that of a human facilitator, but took roughly a sixth of the time.


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