Artificial Intelligence Lab, Department of MIS, University of Arizona / We describe an attempt to overcome information overload through information visualization รข 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.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/105458 |
| Date | 11 1900 |
| Creators | McQuaid, Michael J., Ong, Thian-Huat, Chen, Hsinchun, Nunamaker, Jay F. |
| Publisher | Elsevier |
| Source Sets | University of Arizona |
| Language | English |
| Detected Language | English |
| Type | Journal Article (Paginated) |
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