Dyads’ trajectories in the information spaces for the control of the centring torque τ<sub>B</sub> (<i>Top</i> panel) and the forward torque τ<sub>P</sub> (<i>Bottom</i> panel).

Dyads’ trajectories in the information spaces for the control of the centring torque τ<sub>B</sub> (<i>Top</i> panel) and the forward torque τ<sub>P</sub> (<i>Bottom</i> panel).

<p>In the information space related to <b>τ</b><sub><b>B</b></sub>, the component variables are <b>V1</b>: ball’s outward acceleration, <b>V2</b>: negative of first derivative of angle between ball’s direction of motion and tangent to...

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Bibliographic Details
Main Author:	Anaëlle Cheillan (20923946) (author)
Other Authors:	David M. Jacobs (17029037) (author), Pedro Passos (20923952) (author)
Published:	2025
Subjects:	Sociology Science Policy Space Science Biological Sciences not elsewhere classified present paper investigates learner &# 8217 xlink "> motor linear regression analyses eleven novice dyads rehabilitation </ p optimal informational variables direct learning theory board &# 8217 ball roll along action couplings required build information spaces new motor task informational variables information spaces motor learning dyads reduced correlation analyses available information valuable tool unstable surface relevant degrees moving board methodological insights methodological frameworks jointly manipulating jointly control irrelevant degrees increasingly coupling first step dimensional movements dimensional joint different ways bosu ), ball trajectory action task -) learning
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