Knowledge Visualization for Engineered Systems

  • Saeid Nahavandi
  • Dawei Jia
  • Asim Bhatti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6276)

Abstract

In this information age computer modelling and simulation is proving an indispensable tool for system design, operation, analysis, decision-making, optimisation, education and training. World leading operations are increasingly relying on modelling and simulation to develop more efficient systems and to produce higher quality products and services. Modelling and simulation allows scientists and engineers a better understanding of three-dimensional and time-dependent phenomena, as well as providing a platform for predicting future behaviour. This paper covers aspects of a keynote speech delivered by Saeid Nahavandi which focus on the challenges associated with the modelling and simulation of engineered systems and discusses how knowledge visualisation can provide effective communication to various levels of organisational management. Through examining the concepts of knowledge visualization, performance and spatial cognition and its relationship with user performance, perceptions and feedback on a series of assembly operations, tangible benefits of knowledge creation and representation of a 3 dimensional engineered system for training of complex motor and technical skills are shown.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Clark, R.C., Chopeta, L.: Graphics for Learning. Proven Guidelines for Planning, Designing, and Evaluating Visuals in Training Materials. Pfeiffer, San Francisco (2004)Google Scholar
  2. 2.
    Burkhard, R.A.: Towards a Framework and a Model for Knowledge Visualization: Synergies Between Information and Knowledge Visualization. In: Tergan, S.-O., Keller, T. (eds.) Knowledge and Information Visualization. LNCS, vol. 3426, pp. 238–255. Springer, Heidelberg (2005)Google Scholar
  3. 3.
    Chen, C.: Information Visualization: Beyond the Horizon. Springer, London (2004)Google Scholar
  4. 4.
    Card, S.K., Mackinlay, J.D., Shneiderman, B.: Readings in Information Visualization:Using Vision to think. Morgan Kaufmann, Los Altos (1999)Google Scholar
  5. 5.
    Brough, J.E., Schwartz, M., Gupta, S.K., Anand, D.K., Kavetsky, R., Pettersen, R.: Towards the development of a virtual environment-based training system for mechanical assembly operations. Virtual Reality 11, 189–206 (2007)CrossRefGoogle Scholar
  6. 6.
    Abate, A., Guida, M., Leoncini, P., Nappi, M., Ricciardi, S.: A haptic-based approach to virtual training for aerospace industry. Journal of Visual Languages and Computing 20, 318–325 (2009)CrossRefGoogle Scholar
  7. 7.
    Turk, M., Robertson, G.: Perceptual user interfaces. Communications of the ACM 43, 33–34 (2000)CrossRefGoogle Scholar
  8. 8.
    Datey, A.: Experiments in the Use of Immersion for Information Visualization. In: Faculty of Virginia Polytechnic Institute. Master of Science Virginia: State university (2000)Google Scholar
  9. 9.
    Raja, D., Bowman, D.: Exploroing the benefits of immersion in abstract information visualization. In: 8th International Immersive Projection Technology Workshop (2004)Google Scholar
  10. 10.
    Himberg, H., Motai, Y.: Head Orientation Prediction: Delta Quaternions Versus Quaternions. IEEE Transactions on Systems, Man, and Cybernetics-PartB: Cybernetics 39, 1382–1392 (2009)CrossRefGoogle Scholar
  11. 11.
    Abate, A.F., Guida, M., Leoncini, P., Nappi, M., Ricciardi, S.: A haptic-based approach to virtual training for aerospace industry. Journal of Visual Languages & Computing 20, 318–325 (2009)CrossRefGoogle Scholar
  12. 12.
    O’Malley, M.K., Gupta, A.: Haptic Interfaces. In: L HCI Beyond the GUI, pp. 25–73. Morgan Kaufmann, San Francisco (2008)CrossRefGoogle Scholar
  13. 13.
    Muller, P., Joseph, L., Cdr, C., Schmorrow, D., Stripling, R., Stanney, K., Milham, L., Whitton, M.C., Fowlkes, J.E.: The Fidelity Matrix: Mapping System Fidelity to Training Outcome. In: Interservice/Industry Training, Simulation, and Education Conference, I/ITSEC (2006)Google Scholar
  14. 14.
    Waller, D., Hunt, E., Knapp, D.: The Transfer of Spatial Knowlege in Virtual Environment Training. J. Presence:Teleoperators and Virtual Environments 7, 129–143 (1998)CrossRefGoogle Scholar
  15. 15.
    Jensen, J.F.: Film Theory Meets 3D: A Film Theoretic Approach to the Design and Analysis of 3D Spaces. In: Qvortrup (ed.) Virtual Interaction: Interaction in Virtual Inhabited 3D Worlds, pp. 311–328. Springer, London (2001)Google Scholar
  16. 16.
    Lin, J.J.W., Dhu, H.B.L., Parker, D.E., Abi-Rached, H., Furness, T.A.: Effects of Field of View on Presence, Enjoyment, Memory, and Simulator Sickness in a Virtual Environment. In: IEEE Virtual Reality, pp. 164–171 (2001)Google Scholar
  17. 17.
    Slater, M., Linakis, V., Usoh, M., Kooper, R.: Immersion, Presence, and Performance in Virtual Environments: An Experiment with Tri-Dimensional Chess. In: ACM Symposium on Virtual Reality Software and Technology, Hong kong, pp. 163–172 (1996)Google Scholar
  18. 18.
    Burdea, G., Coiffet, P.: Virtual Reality Technology. John Wiley & Sons, Inc., Chichester (2003)Google Scholar
  19. 19.
    Pearce, J.M.: An investigation of interactivity and flow: student behaviour during online instruction. Department of Information Systems. Doctor of Philosophy Melbourne: The University of Melbourne, p. 342 (2004)Google Scholar
  20. 20.
    Dalgarno, B., Hedberg, J., Harper, B.: The Contribution of 3D Environments to Conceptual Understanding. In: Proceedings Of the 19th annual conference of the Australasian Society for Computers in Learning in Tertiary Education, Auckland, NZ, pp. 145–158 (2002)Google Scholar
  21. 21.
    Laurel, B.: Computer as Theatre. Addison-Wesley Perfessional, Reading (1993)Google Scholar
  22. 22.
    Brutzman, D.: Graphics Internetworking: Bottlenecks and Breakthroughs. In: Dodsworth, C. (ed.) Digital Illusion: Entertaing the Future with High Technology, pp. 61–95. ACM Press, New York (1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Saeid Nahavandi
    • 1
  • Dawei Jia
    • 1
  • Asim Bhatti
    • 1
  1. 1.Centre for Intelligent Systems ResearchDeakin UniversityAustralia

Personalised recommendations