Analysis of Human Skill Development in Manual Ramp-Tracking Tasks

Journal Article (2019)
Author(s)

M. Willems (Student TU Delft)

D. M. Pool (TU Delft - Control & Simulation)

K. van der El (TU Delft - Control & Simulation)

HJ Damveld (TU Delft - Control & Simulation)

M. M.(René) van Paassen (TU Delft - Control & Simulation)

Max Mulder (TU Delft - Control & Simulation)

Research Group
Control & Simulation
Copyright
© 2019 M. Willems, D.M. Pool, Kasper van der El, H.J. Damveld, M.M. van Paassen, Max Mulder
DOI related publication
https://doi.org/10.1016/j.ifacol.2019.12.105
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 M. Willems, D.M. Pool, Kasper van der El, H.J. Damveld, M.M. van Paassen, Max Mulder
Research Group
Control & Simulation
Issue number
19
Volume number
52
Pages (from-to)
235-240
Reuse Rights

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Abstract

Human modelling approaches are typically limited to feedback-only, compensatory tracking tasks. Advances in system identification techniques allow us to consider more realistic tasks that involve feedforward and even precognitive control. In this paper we study the human development of a feedforward control response while learning to accurately follow a ramp-shaped target signal in the presence of a disturbance acting on the controlled element. An experiment was conducted in which two groups of eight subjects each tracked ramps of different steepnesses in a random or ordered fashion. In addition, ordered runs were followed by a 'surprise' run with a random ramp steepness. Results show that operators learn rapidly, continue to learn during the entire experiment, and can adapt very quickly to surprise situations. Experiments involving learning operators are challenging, as it is difficult to balance-out all experimental conditions and control for inevitable differences between (groups of) subjects.