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Improving the Legibility of Virtual Environments

  • Rob Ingram
  • Steve Benford
Part of the Eurographics book series (EUROGRAPH)

Abstract

Years of research into hyper-media systems have shown that finding one’s way through large electronic information systems can be a difficult task. Our experiences with virtual reality suggest that users will also suffer from the commonly experienced “lost in hyper-space” problem when trying to navigate virtual environments.

Keywords

Virtual Reality Span Tree Virtual Environment Data Item Minimum Span Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. [Benford94]
    Steve Benford, John Bowers, Lennart Fahten, Chris Greenhalgh, John Mariani and Tom Rodden, Networked Virtual Reality and Co-operative Work, Presence, MIT Press, (in press).Google Scholar
  2. [Canter84]
    David Canter, Way-finding and Signposting: Pennance or Prosthesis, Nato Conference on Visual Presentation of Information, published as Information Design ( Easterby and Zwaga), Wiley, 1984Google Scholar
  3. [Jain88]
    Anil K. Jain and Richard C. Dubes, Algorithms For Clustering Data, Pren-tice-Hall, 1988Google Scholar
  4. [Lynch60]
    Kevin Lynch, The Image of the City, M. I. T. Press, 1960Google Scholar
  5. [Passini92]
    Remedi Passini, Wayfinding in Architecture, Van Nostrand Reinhold, 1992Google Scholar
  6. [Zahn71]
    Zahn, C. T., Graph-theoretical Methods for Detecting and Describing Gestalt Clusters, IEEE Transactions on Computers, C 20, 68–86Google Scholar

Copyright information

© Springer-Verlag/Wien 1995

Authors and Affiliations

  • Rob Ingram
    • 1
  • Steve Benford
    • 1
  1. 1.Department of Computer ScienceThe University of NottinghamNottinghamUK

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