A comparison of information visualization methods

  • Authors:
  • Korin Werner

  • Affiliations:
  • The University of South Dakota, Vermillion, SD

  • Venue:
  • CHI '02 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2002

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Abstract

Large hierarchies of information (such as maps, graphs, amd web pages) that must be fit onto small areas are present everywhere. The size restriction prevents the user from viewing the entire structure at once, which causes the context of the information to be lost. Conversely, if the entire structure is visible all at once, the details are too small to read and specific information is lost to the user. The present research studies different visualization techniques that present detailed specific information from large hierarchies on a single screen, while preserving the information's context within the global structure. Results show that Internet Explorer supported superior user performance in both time and accuracy when compared to three other methods of information visualization.