DECIPHERING PERFORMANCE: INTEGRATING HUMAN DECISION AND PHYSIOLOGICAL DATA FOR ENHANCED SPORTS SIMULATION MODELING

Authors

  • Mingze Zoeng Department of Computer Science and Information Engineering, Tamkang University, Tamsui, Taiwan China

Keywords:

Sports Simulation, Human Decision-Making, Physiological Data

Abstract

In modern sports simulation modeling, the integration of human decision-making processes and physiological data has become imperative for capturing the intricacies of athlete performance. This paper proposes a novel approach titled "Deciphering Performance," which aims to bridge the gap between human decision-making and physiological responses within sports simulations. By combining insights from cognitive science, biomechanics, and data analytics, this integrated model offers a comprehensive framework for understanding and predicting athlete behavior and performance outcomes. Through the synthesis of qualitative decision-making factors and quantitative physiological markers, sports simulations can achieve heightened realism and accuracy, empowering coaches, analysts, and athletes with valuable insights for training, strategy development, and performance optimization.

Downloads

Download data is not yet available.

References

Andreassi, J. L., Psychophysiology: Human Behavior and Physiological Response, 4th Edition. Hillsdale, Lawrence Erlbaum, New York, U.S.A. (2000).

Russell, S. and Norvig, P., Artificial Intelligence a modern approach, 2nd edition, Prentice Hall, U.S.A. (2002).

Polya, G., How to Solve It, Doubleday Anchor, NY, U.S.A. (1957).

McGhee, P., Thinking psychologically, Palgrave, Basingstoke (2001).

Hammond and John, S., Smart Choices: A Practical Guide to Making Better Decisions, Harvard Business School Press, Boston, U.S.A. (1999).

Hogarth, R. M., Judgement and Choice, Second Edition, John Wiley & Sons, New York, U.S.A. (1987).

Moore, P. G., “The Manager Struggles with Uncertainty,” Journal of the Royal Statistical Society, Series A, Vol. 140, pp. 129148 (1977).

Wang, Y., Liu, D. and Ruhe, G., “Formal Description of the Cognitive Process of Decision Making,” IEEE International Conference on Cognitive Informatics (2004).

Osborne, M. and Rubinstein, A., A Course in Game Theory, MIT Press, U.S.A. (1994).

Kevin, B., Korb, A. E. and Nicholson, Bayesian Artificial Intelligence, Chapman & Hall/CRC, London, England (2003).

Edward, W. and Fasolo, B., “Decision Technology”, Annual Review of Psychology, Vol. 52, pp. 581606 (2001).

Tecce, J. J., Psychology, Physiology and Experimental. In McGraw-Hill Yearbook of Science and Technology, New York, U.S.A. (1992).

Downloads

Published

2012-05-06

How to Cite

Mingze Zoeng. (2012). DECIPHERING PERFORMANCE: INTEGRATING HUMAN DECISION AND PHYSIOLOGICAL DATA FOR ENHANCED SPORTS SIMULATION MODELING. Journal of Applied Science and Social Science, 2(02), 01–06. Retrieved from https://www.internationaljournal.co.in/index.php/jasass/article/view/89

Issue

Vol. 2 No. 02 (2012): Volume 02 Issue 02

Section

Articles

License

Copyright (c) 2012 Mingze Zoeng

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in the Journal of Applied Science and Social Science (JASSS) is protected by copyright. Authors retain the copyright to their work, and grant JASSS the right to publish the work under a Creative Commons Attribution License (CC BY). This license allows others to distribute, remix, adapt, and build upon the work, even commercially, as long as they credit the author(s) for the original creation.