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Beyond visualization: Knowing and understanding

Part of the Lecture Notes in Computer Science book series (LNCS,volume 439)

Abstract

Practical experience with several systems that heavily rely on the visualization paradigm has shown that visualization alone is not enough. The sheer existence of powerful visualization tools does not guarantee a successful human-computer-communication. Most visualization tools existing today lack semantic qualities in the communication process; they are not implemented in other than graphics terms. It is evident from our experience that the performance and success of visualization based systems can be greatly improved if these systems are built on top of deep representations of the knowledge underlying the relevant problem domain. The paper discusses two prototypical systems that combine knowledge representation and visualization techniques to reach a new level of human — problem-domain — communication.

Keywords

  • Cognitive Engineer
  • Computer Music
  • Musical Object
  • Musical Knowledge
  • Deep Representation

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.

The work described herein was partly made possible by a grant of the Deutsche Forschungsgemeinschaft (DFG) to the last author.

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© 1990 Springer-Verlag Berlin Heidelberg

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Mahling, A., Herczeg, J., Herczeg, M., Böcker, HD. (1990). Beyond visualization: Knowing and understanding. In: Gorny, P., Tauber, M.J. (eds) Visualization in Human-Computer Interaction. IPsy 1988. Lecture Notes in Computer Science, vol 439. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52698-6_2

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  • DOI: https://doi.org/10.1007/3-540-52698-6_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52698-8

  • Online ISBN: 978-3-540-47102-8

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