Abstract
Existing research on human skills acquisition studies has shown that learning follows a non-linear pattern, but the exact form remains unknown due to the limitation of traditional experimental methods and lack of systematic modeling of tasks. We applied a non-linear fractal analysis on the time series data produced by human subjects on target-tracking motor learning tasks. Tracking of a non-fractal sinusoid-cosinusoid signal was used as the platform. Our preliminary results suggest that fractal models may prove effective in investigating details of the human learning process.
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References
Adams, J.A.: A closed-loop theory of motor learning. Journal of Motor Behaviors 3, 111–150 (1971)
Bassingthwaihte, J.B., Liebovitch, L.B., West, B.J.: Fractal Physiology. Oxford University Press, New York (1994)
Blok, H.J.: On the nature of the stock market: Simulations and experiments, PhD thesis, University of British Columbia, Canada (2000)
Cannon, M.J., Percival, D.B., Caccia, D.C., Raymond, G.M., Bassingthwaighte, J.B.: Evaluating the Scaled Windowed Variance Methods for Estimating the Hurst Coefficient of Time Series. Physica A 241, 606 (1997)
Chen, Z., et al.: Effect of Nonstationarities on Detrended Fluctuation Analysis. Phys. Rev. E 65, 041107 (2002)
Damos, D.L.: Examining transfer of training using curve fitting: A second look. The International Journal of Aviation Psychology 1(1), 73–85 (1991)
Ellis, H.C.: The transfer of learning. The Macmillan Company, New York (1965)
Fitts, P.M.: The information capacity of the human motor system in controlling the amplitude of movement. Journal of Experimental Psychology 47(6), 381–391 (1954)
Fitts, P.M.: Perceptual-motor skills learning. In: Melton, A.W. (ed.) Categories of human learning, pp. 243–285. Academic Press, New York (1964)
Heathcote, A., Mewhort, D.J.K.: The evidence for a power law of practice. In: Proceedings of the 4th Conference of the Australasian Cognitive Science Society, The University of Newcastle, Australia 2000 (2000)
Henry, F.M., Rogers, D.E.: Increased response latency for complicated movements and a memory drum theory of neuromotor reaction. Research Quarterly 31, 448–458 (1960)
Hu, K., et al.: Effect of trends on detrended fluctuation analysis. Phys. Rev. E 64, 011114 (2001)
Kantelhardt, J.W., Zschiegner, S.A., Koscielny-Bunde, E., Havlin, S., Bunde, A., Stanley, H.E.: Multifractal detrended fluctuation analysis of nonstationary time series. Physica A 316, 87 (2002)
Liu, D., Blickensderfer, E., Vincenzi, D., Macchiarella, N.: Transfer of training. In: Vincenzi, D., Wise, J. (eds.) Human factors and simulation In review (2006)
Newell, A., Rosenbloom, P.: Mechanism of skill acquisition and the law of practice. In: Anderson, J.R. (ed.) Cognitive skills and their acquisition, pp. 1–56. Erlbaum, Hillsdale, NJ (1981)
Peng, C.-K., et al.: Quantification of Scaling Exponents and Crossover Phenomena in Nonstationary Heartbeat Timeseries. Chaos 5(1), 82–87 (1995)
Schmidt, R.A.: A schema theory of discrete motor skill learning. Psychological Review 82(4), 225–260 (1975)
Schmidt, R.A., Lee, T.D.: Motor control and learning: a behavior emphasis. 4th edn. Human Kinetics (2005)
Sherwood, D.E., Lee, T.D.: Schema Theory: Critical review and implication for the role of cognition in a new theory of motor learning. Research Quarterly for Exercise and Sport 74(4), 376–382 (2003)
Taqqu, M.S., Teverovsky, V., Willinger, W.: Estimators for long-range dependence: An empirical study. Fractals 3, 185 (1996)
Wanliss, J.A., Dobias, P.: Space Storm as a Phase Transition. J. Atmos. Sol. Terr. Physics (in press, 2007)
Yelle, L.E.: The Learning Curve: Historical Review and Comprehensive Survey. Decision Sciences 10, 302–328 (1979)
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Wanliss, J., Liu, D., Uritsky, V., Wuergler, M. (2007). Fractal Modeling of Human Psychomotor Skills Acquisition Process. In: Duffy, V.G. (eds) Digital Human Modeling. ICDHM 2007. Lecture Notes in Computer Science, vol 4561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73321-8_55
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DOI: https://doi.org/10.1007/978-3-540-73321-8_55
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