Skip to main content

Constructing Virtual Environments for Visual Explorers

  • Chapter
Virtual Space

Abstract

Human beings experience their environment through their senses. The perceptual system is specialized for perceptual control over behaviours enabling humans to interact with their environment. The environment may contain static as well as dynamic objects and phenomena. Furthermore, the perception of the environment, provided by the senses, changes according to ego motion relative to the environment. The experience of oneself in relation to the environment requires that there is a well-known and expected consistency between the perceptions of the individual senses as well as between perception and ego motion.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Cleveland, W. S. (1985)The Elements of Graphing Data.Chapman & Hall, New York.

    Google Scholar 

  • Cox, K. C., Eick, S. C., Wills, G. J. and Brachman, R. J. (1997) Visual data mining: recognizing telephone calling fraud.Data Mining and Knowledge Discovery1(2): 225–231.

    Article  Google Scholar 

  • Davis, E. G. and Swezey, R. W. (1983) Human factors guidelines in computer graphics: a case study.International Journal of Man Machine Studies18(2): 113–133.

    Article  Google Scholar 

  • Driver, J., McLeod, P. and Dienes, Z. (1992) Are direction and speed coded independently by the visual system? Evidence from visual search.Spatial Vision6(2): 133–147.

    Article  Google Scholar 

  • Friedman, A. and Hall, D. L. (1996) The importance of being upright: use of environmental and viewer-centered reference frames in shape discriminations of novel three-dimensional objects.Memory and Cognition24(3): 285–295.

    Article  Google Scholar 

  • Hershenson, M. (1999)Visual Space Perception. A Primer.Cambridge, MIT Press.

    Google Scholar 

  • Latimer, C., Stevens, C., Irish, M. and Webber, L. (2000) Attentional biases in geometric form perception.Quarterly Journal of Experimental Psychology: Human Experimental Psychology53A(3): 765–791.

    Google Scholar 

  • Mâcedo, M., Cook, D. and Brown, T. J. (1998) Visual data mining in atmospheric science data.Data Mining and Knowledge DiscoveryX: 1–14.

    Google Scholar 

  • McGormick, E. J. and Sanders, M. S. (1983)Human Factors in Engineering and Design5th edn. NY: McGraw-Hill Book Company.

    Google Scholar 

  • McKee, S. P. and Nakayama, K. (1984) The detection of motion in the peripheral visual field.Vision Research24: 25–32.

    Article  Google Scholar 

  • Nagel, H., Granum, E. and Musaeus, P. (2001) Methods for mining data in Virtual Reality.Proceedings from the Joint European-based Forum on Machine Learning.Knowledge Discovery and Data Mining, 2001.

    Google Scholar 

  • Nakayama, K. and Silverman, G. H. (1986) Serial and parallel processing of visual feature conjunctions.Nature320: 264–265.

    Article  Google Scholar 

  • Peterson, H. and Dugas, D. (1972) The relative importance of contrast and motion in visual perception.Human Factors14: 207–216.

    Google Scholar 

  • Sawant, N., Scharver, C., Leigh, J., Johnson, A., Reinhart, G., Creel, E., Batchu, S., Bailey, S. and Grossman, R. (2000) The Tele-Immersive Data Explorer: A Distributed architecture for Collaborative Interactive Visualization of Large Data-sets.Proceedings of the Fourth International Immersive Projection Technology WorkshopAmes, IA, 06/19/00–06/20/00.

    Google Scholar 

  • Treisman, A. (1982) Perceptual grouping and attention in visual search for features and for objects.Journal of Experimental Psychology: Human Perception and Performance8(2): 194–214.

    Article  Google Scholar 

  • Treisman, A. and Gormican, S. (1988) Feature analysis in early vision: evidence from search asymmetries.Psychological-Review95(1): 15–48.

    Article  Google Scholar 

  • Tynan, P. D. and Sekuler, R. (1982) Motion processing in peripheral vision: reaction time and perceived velocity.Vision Research22: 61–68.

    Article  Google Scholar 

  • Ware, C. (2000)Information Visualization: Perception for Design.Morgan Kaufmann Interactive Technologies Series.

    Google Scholar 

  • Wilkinson, L. (1999)The Grammar of Graphics.Springer, New York.

    MATH  Google Scholar 

  • Zusne, L. (1970)Visual Perception of Form.Academic Press, New York.

    Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag London

About this chapter

Cite this chapter

Granum, E., Musaeus, P. (2002). Constructing Virtual Environments for Visual Explorers. In: Qvortrup, L., Jensen, J.F., Kjems, E., Lehmann, N., Madsen, C. (eds) Virtual Space. Springer, London. https://doi.org/10.1007/978-1-4471-0225-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-0225-0_6

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-1100-9

  • Online ISBN: 978-1-4471-0225-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics