Time scales of performance levels during training of complex motor tasks

Gottfried Mayer-Kress, Yeou-Teh Liu, Karl M. Newell

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Complex motor tasks - such as skydiving or landing an airplane - require extensive training and practice of coordinated movement sequences. But even once the task is learned, experience shows that the proper execution of the task is not guaranteed if the task is to be performed years, months, or even days after its most recent execution. That is why, for example, pilots need to demonstrate a minimum number of flight hours per year. We have developed a dynamical systems model that describes these phenomena in the context of different time scales of adaptation and learning processes. We could show that the performance decrement after interruption of skill practice is exclusively due to the dynamics of adaptive processes, whereas learning continued even without practice. The proper understanding of the separation between these two types of processes can help to predict the type and intensity of warm-up that is necessary to safely and reliably execute a task after a given rest time. Such a situation seems to be especially relevant for complex military missions, which include long pauses between task execution together with short preparation and high stress levels during the relatively infrequent task executions.

Original languageEnglish
Title of host publicationApplications of Nonlinear Dynamics
Subtitle of host publicationModel and Design of Complex Systems
Pages445-448
Number of pages4
DOIs
Publication statusPublished - 2009 Mar 27

Publication series

NameUnderstanding Complex Systems
Volume2009
ISSN (Print)1860-0832
ISSN (Electronic)1860-0840

Fingerprint

Landing
Dynamical systems
Aircraft

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software
  • Computational Mechanics

Cite this

Mayer-Kress, G., Liu, Y-T., & Newell, K. M. (2009). Time scales of performance levels during training of complex motor tasks. In Applications of Nonlinear Dynamics: Model and Design of Complex Systems (pp. 445-448). (Understanding Complex Systems; Vol. 2009). https://doi.org/10.1007/978-3-540-85632-0_42

Time scales of performance levels during training of complex motor tasks. / Mayer-Kress, Gottfried; Liu, Yeou-Teh; Newell, Karl M.

Applications of Nonlinear Dynamics: Model and Design of Complex Systems. 2009. p. 445-448 (Understanding Complex Systems; Vol. 2009).

Research output: Chapter in Book/Report/Conference proceedingChapter

Mayer-Kress, G, Liu, Y-T & Newell, KM 2009, Time scales of performance levels during training of complex motor tasks. in Applications of Nonlinear Dynamics: Model and Design of Complex Systems. Understanding Complex Systems, vol. 2009, pp. 445-448. https://doi.org/10.1007/978-3-540-85632-0_42
Mayer-Kress G, Liu Y-T, Newell KM. Time scales of performance levels during training of complex motor tasks. In Applications of Nonlinear Dynamics: Model and Design of Complex Systems. 2009. p. 445-448. (Understanding Complex Systems). https://doi.org/10.1007/978-3-540-85632-0_42
Mayer-Kress, Gottfried ; Liu, Yeou-Teh ; Newell, Karl M. / Time scales of performance levels during training of complex motor tasks. Applications of Nonlinear Dynamics: Model and Design of Complex Systems. 2009. pp. 445-448 (Understanding Complex Systems).
@inbook{93ab0faa7f4d4f879786d9b52ec3e981,
title = "Time scales of performance levels during training of complex motor tasks",
abstract = "Complex motor tasks - such as skydiving or landing an airplane - require extensive training and practice of coordinated movement sequences. But even once the task is learned, experience shows that the proper execution of the task is not guaranteed if the task is to be performed years, months, or even days after its most recent execution. That is why, for example, pilots need to demonstrate a minimum number of flight hours per year. We have developed a dynamical systems model that describes these phenomena in the context of different time scales of adaptation and learning processes. We could show that the performance decrement after interruption of skill practice is exclusively due to the dynamics of adaptive processes, whereas learning continued even without practice. The proper understanding of the separation between these two types of processes can help to predict the type and intensity of warm-up that is necessary to safely and reliably execute a task after a given rest time. Such a situation seems to be especially relevant for complex military missions, which include long pauses between task execution together with short preparation and high stress levels during the relatively infrequent task executions.",
author = "Gottfried Mayer-Kress and Yeou-Teh Liu and Newell, {Karl M.}",
year = "2009",
month = "3",
day = "27",
doi = "10.1007/978-3-540-85632-0_42",
language = "English",
isbn = "9783540856313",
series = "Understanding Complex Systems",
pages = "445--448",
booktitle = "Applications of Nonlinear Dynamics",

}

TY - CHAP

T1 - Time scales of performance levels during training of complex motor tasks

AU - Mayer-Kress, Gottfried

AU - Liu, Yeou-Teh

AU - Newell, Karl M.

PY - 2009/3/27

Y1 - 2009/3/27

N2 - Complex motor tasks - such as skydiving or landing an airplane - require extensive training and practice of coordinated movement sequences. But even once the task is learned, experience shows that the proper execution of the task is not guaranteed if the task is to be performed years, months, or even days after its most recent execution. That is why, for example, pilots need to demonstrate a minimum number of flight hours per year. We have developed a dynamical systems model that describes these phenomena in the context of different time scales of adaptation and learning processes. We could show that the performance decrement after interruption of skill practice is exclusively due to the dynamics of adaptive processes, whereas learning continued even without practice. The proper understanding of the separation between these two types of processes can help to predict the type and intensity of warm-up that is necessary to safely and reliably execute a task after a given rest time. Such a situation seems to be especially relevant for complex military missions, which include long pauses between task execution together with short preparation and high stress levels during the relatively infrequent task executions.

AB - Complex motor tasks - such as skydiving or landing an airplane - require extensive training and practice of coordinated movement sequences. But even once the task is learned, experience shows that the proper execution of the task is not guaranteed if the task is to be performed years, months, or even days after its most recent execution. That is why, for example, pilots need to demonstrate a minimum number of flight hours per year. We have developed a dynamical systems model that describes these phenomena in the context of different time scales of adaptation and learning processes. We could show that the performance decrement after interruption of skill practice is exclusively due to the dynamics of adaptive processes, whereas learning continued even without practice. The proper understanding of the separation between these two types of processes can help to predict the type and intensity of warm-up that is necessary to safely and reliably execute a task after a given rest time. Such a situation seems to be especially relevant for complex military missions, which include long pauses between task execution together with short preparation and high stress levels during the relatively infrequent task executions.

UR - http://www.scopus.com/inward/record.url?scp=62849096268&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=62849096268&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-85632-0_42

DO - 10.1007/978-3-540-85632-0_42

M3 - Chapter

AN - SCOPUS:62849096268

SN - 9783540856313

T3 - Understanding Complex Systems

SP - 445

EP - 448

BT - Applications of Nonlinear Dynamics

ER -