Journal of Applied Science and Engineering

Published by Tamkang University Press

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Huan-Chao Keh1 and Yang Wang This email address is being protected from spambots. You need JavaScript enabled to view it.1

1Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taiwan 251, R.O.C.


 

Received: February 13, 2006
Accepted: March 28, 2006
Publication Date: December 1, 2006

Download Citation: ||https://doi.org/10.6180/jase.2006.9.4.11  


ABSTRACT


A sporting event is not only a commercial activity in the modern era; it is also an expression of pushing the human mental and physical strength to the extreme. Virtual reality training has been widely applied in the sporting arena. For a long time, “How to transform training into something more realistic and intellectual” is something scholars have strived to achieve. The hope is to input most direct information that call physiological data during a real fight into virtual avatar used in training through the Psychophysiology study method, to more precisely aid in “thinking”. The focus of this research aims to establish a linking model to connect the physiological data and the decision-making mechanism. This research covers two major scopes: psychophysiology and decision-making. Study results enable smart and highly versatile virtual avatar, which in turn greatly increase training result effectiveness.


Keywords: Virtual Reality, Virtual Avatar, Human Thinking, Eye Tracking, Psychophysiology, Decision Making


REFERENCES


  1. [1] Andreassi, J. L., Psychophysiology: Human Behavior and Physiological Response, 4th Edition. Hillsdale, Lawrence Erlbaum, New York, U.S.A. (2000).
  2. [2] Russell, S. and Norvig, P., Artificial Intelligence a modern approach, 2nd edition, Prentice Hall, U.S.A. (2002).
  3. [3] Polya, G., How to Solve It, Doubleday Anchor, NY, U.S.A. (1957).
  4. [4] McGhee, P., Thinking psychologically, Palgrave, Basingstoke (2001).
  5. [5] Hammond and John, S., Smart Choices: A Practical Guide to Making Better Decisions, Harvard Business School Press, Boston, U.S.A. (1999).
  6. [6] Hogarth, R. M., Judgement and Choice, Second Edition, John Wiley & Sons, New York, U.S.A. (1987).
  7. [7] Moore, P. G., “The Manager Struggles with Uncertainty,” Journal of the Royal Statistical Society, Series A, Vol. 140, pp. 129148 (1977).
  8. [8] Wang, Y., Liu, D. and Ruhe, G., “Formal Description of the Cognitive Process of Decision Making,” IEEE International Conference on Cognitive Informatics (2004).
  9. [9] Osborne, M. and Rubinstein, A., A Course in Game Theory, MIT Press, U.S.A. (1994).
  10. [10] Kevin, B., Korb, A. E. and Nicholson, Bayesian Artificial Intelligence, Chapman & Hall/CRC, London, England (2003).
  11. [11] Edward, W. and Fasolo, B., “Decision Technology”, Annual Review of Psychology, Vol. 52, pp. 581606 (2001).
  12. [12] Tecce, J. J., Psychology, Physiology and Experimental. In McGraw-Hill Yearbook of Science and Technology, New York, U.S.A. (1992).
  13. [13] Vick, R. M. and Ikehara, C. S., “Methodological Issues of Real Time Data Acquisition from Multiple Sources of Physiological Data,” Proceedings of the 36th Hawaii International Conference on System Sciences, Hawaii, U.S.A. (2002).
  14. [14] Ritter, W. and Vaughan, H. G., “Orienting and Habituation to Auditory Stimuli: A Study of Short Term Changes in Average Evoked Responses,” Electroencephalography and Clinical Neurophysiology, Vol. 25, pp. 550556 (1968).
  15. [15] Rohrbaugh, J. W. and Donchin, E., “Decision Making and the P300 Component of the Cortical Evoked Response,” Perception and Psychophysics, Vol. 15, pp. 368374 (1974).
  16. [16] Cacioppo, J. T. and Bush, L. K., “Microexpressive Facial Actions as a Function of Affective Stimuli: Replication and Extension,” Personality and Social Psychology Bulletin, Vol. 18, pp. 515526 (1990).
  17. [17] Duffy, E., Activation and Behavior, Wiley, New York, U.S.A. (1996).
  18. [18] Fowles, D. C., “The Eccrine System and Electrodermal Activity,” Psychophysiology, pp. 5196, Guilford Press, New York, U.S.A. (1986).
  19. [19] Young, L. R. and Sheena, D., “Survey of Eye Movement Recording Methods,” Behavior Research ethods & Instrumentation,series. 7, Vol. 5, pp. 397429 (1975).
  20. [20] Sternberg, R. J., Handbook of creativity, Cambridge: Cambridge University Press (1998).
  21. [21] Guyton, A. C., Basic Human Physiology: Normal Function and Mechanisms of Disease, Saunders, Philadephia, U.S.A. (1977).
  22. [22] Lowenstein, O. and Loewenfield, I. E., Muscular mechanisms, Academic Press, New York, U.S.A. (1962).
  23. [23] Wnek. G. and Bowlin, G. R., “Eye Tracking: Research Areas and Applications,” Encyclopedia of Biomaterials and Biomedical Engineering, Department of Psychology, Stanford University, USA (2004).
  24. [24] Tversky, A. and Kahneman, D. “Availability: A Heuristic for Judging Frequency and Probability,” Cognitive Psychology, Vol. 5, pp. 207232 (1973).
  25. [25] Yarbus, A. L., Eye Movements and Vision, Plenum, New York, U.S.A. (1967).