Multidimensional scaling for group memory visualization

Michael J. McQuaid, Thian Huat Ong, Hsinchun Chen, Jay F. Nunamaker

Research output: Contribution to journalArticle

23 Scopus citations

Abstract

We describe an attempt to overcome information overload through information visualization - 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.

Original languageEnglish (US)
Pages (from-to)163-176
Number of pages14
JournalDecision Support Systems
Volume27
Issue number1
DOIs
StatePublished - Nov 1999

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Developmental and Educational Psychology
  • Arts and Humanities (miscellaneous)
  • Information Systems and Management

Fingerprint Dive into the research topics of 'Multidimensional scaling for group memory visualization'. Together they form a unique fingerprint.

  • Cite this