Persistent Link:
http://hdl.handle.net/10150/105458
Title:
Multidimensional scaling for group memory visualization
Author:
McQuaid, Michael J.; Ong, Thian-Huat; Chen, Hsinchun; Nunamaker, Jay F.
Citation:
Multidimensional scaling for group memory visualization 1999-11, 27(1-2):163-176 Decision Support Systems
Publisher:
Elsevier
Journal:
Decision Support Systems
Issue Date:
Nov-1999
Description:
Artificial Intelligence Lab, Department of MIS, University of Arizona
URI:
http://hdl.handle.net/10150/105458
Submitted date:
2004-08-16
Abstract:
We describe an attempt to overcome information overload through information visualization â in a particular domain, group memory. A brief review of information visualization is followed by a brief description of our methodology. We . discuss our system, which uses multidimensional scaling MDS to visualize relationships between documents, and which . we tested on 60 subjects, mostly students. We found three important and statistically significant differences between task performance on an MDS-generated display and on a randomly generated display. With some qualifications, we conclude that MDS speeds up and improves the quality of manual classification of documents and that the MDS display agrees with subject perceptions of which documents are similar and should be displayed together.
Type:
Journal Article (Paginated)
Language:
en
Keywords:
Information Seeking Behaviors
Local subject classification:
National Science Digital Library; NSDL; Artificial Intelligence lab; AI lab; Visualization; Multidimensional scaling; Organizational memory; Group memory; Collaborative computing; Group support; Systems

Full metadata record

DC FieldValue Language
dc.contributor.authorMcQuaid, Michael J.en_US
dc.contributor.authorOng, Thian-Huaten_US
dc.contributor.authorChen, Hsinchunen_US
dc.contributor.authorNunamaker, Jay F.en_US
dc.date.accessioned2004-08-16T00:00:01Z-
dc.date.available2010-06-18T23:25:55Z-
dc.date.issued1999-11en_US
dc.date.submitted2004-08-16en_US
dc.identifier.citationMultidimensional scaling for group memory visualization 1999-11, 27(1-2):163-176 Decision Support Systemsen_US
dc.identifier.urihttp://hdl.handle.net/10150/105458-
dc.descriptionArtificial Intelligence Lab, Department of MIS, University of Arizonaen_US
dc.description.abstractWe describe an attempt to overcome information overload through information visualization â in a particular domain, group memory. A brief review of information visualization is followed by a brief description of our methodology. We . discuss our system, which uses multidimensional scaling MDS to visualize relationships between documents, and which . we tested on 60 subjects, mostly students. We found three important and statistically significant differences between task performance on an MDS-generated display and on a randomly generated display. With some qualifications, we conclude that MDS speeds up and improves the quality of manual classification of documents and that the MDS display agrees with subject perceptions of which documents are similar and should be displayed together.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.subjectInformation Seeking Behaviorsen_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.otherVisualizationen_US
dc.subject.otherMultidimensional scalingen_US
dc.subject.otherOrganizational memoryen_US
dc.subject.otherGroup memoryen_US
dc.subject.otherCollaborative computingen_US
dc.subject.otherGroup supporten_US
dc.subject.otherSystemsen_US
dc.titleMultidimensional scaling for group memory visualizationen_US
dc.typeJournal Article (Paginated)en_US
dc.identifier.journalDecision Support Systemsen_US
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