Literature DB >> 20515200

Passive vs. active control of rhythmic ball bouncing: the role of visual information.

Isabelle A Siegler1, Benoît G Bardy, William H Warren.   

Abstract

The simple task of bouncing a ball on a racket offers a model system for studying how human actors exploit the physics and information of the environment to control their behavior. Previous work shows that people take advantage of a passively stable solution for ball bouncing but can also use perceptual information to actively stabilize bouncing. In this article, we investigate (a) active and passive contributions to the control of bouncing, (b) the visual information in the ball's trajectory, and (c) how it modulates the parameters of racket oscillation. We used a virtual ball bouncing apparatus to manipulate the coefficient of restitution alpha and gravitational acceleration g during steady-state bouncing (Experiment 1) and sudden transitions (Experiment 2) to dissociate informational variables. The results support a form of mixed control, based on the half-period of the ball's trajectory, in which racket oscillation is actively regulated on every cycle in order to keep the system in or near the passively stable region. The mixed control mode may be a general strategy for integrating passive stability with active stabilization in perception-action systems.

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Mesh:

Year:  2010        PMID: 20515200     DOI: 10.1037/a0016462

Source DB:  PubMed          Journal:  J Exp Psychol Hum Percept Perform        ISSN: 0096-1523            Impact factor:   3.332


  11 in total

1.  Bouncing between model and data: stability, passivity, and optimality in hybrid dynamics.

Authors:  Renaud Ronsse; Dagmar Sternad
Journal:  J Mot Behav       Date:  2010-11       Impact factor: 1.328

2.  The critical phase for visual control of human walking over complex terrain.

Authors:  Jonathan Samir Matthis; Sean L Barton; Brett R Fajen
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-24       Impact factor: 11.205

3.  Model of rhythmic ball bouncing using a visually controlled neural oscillator.

Authors:  Guillaume Avrin; Isabelle A Siegler; Maria Makarov; Pedro Rodriguez-Ayerbe
Journal:  J Neurophysiol       Date:  2017-08-09       Impact factor: 2.714

4.  Implicit guidance to stable performance in a rhythmic perceptual-motor skill.

Authors:  Meghan E Huber; Dagmar Sternad
Journal:  Exp Brain Res       Date:  2015-03-28       Impact factor: 1.972

Review 5.  On-line and model-based approaches to the visual control of action.

Authors:  Huaiyong Zhao; William H Warren
Journal:  Vision Res       Date:  2014-10-20       Impact factor: 1.886

6.  Predictability, force, and (anti)resonance in complex object control.

Authors:  Pauline Maurice; Neville Hogan; Dagmar Sternad
Journal:  J Neurophysiol       Date:  2018-04-18       Impact factor: 2.714

7.  The effect of stereotype threat on performance of a rhythmic motor skill.

Authors:  Meghan E Huber; Allison E Seitchik; Adam J Brown; Dagmar Sternad; Stephen G Harkins
Journal:  J Exp Psychol Hum Percept Perform       Date:  2015-02-23       Impact factor: 3.332

8.  Development of information-movement couplings in a rhythmical ball-bouncing task: from space- to time-related information.

Authors:  C Bazile; N Benguigui; I A Siegler
Journal:  Exp Brain Res       Date:  2015-09-26       Impact factor: 1.972

9.  Mixed control for perception and action: timing and error correction in rhythmic ball-bouncing.

Authors:  I A Siegler; C Bazile; W H Warren
Journal:  Exp Brain Res       Date:  2013-03-21       Impact factor: 1.972

10.  The embodied dynamics of perceptual causality: a slippery slope?

Authors:  Michel-Ange Amorim; Isabelle A Siegler; Robin Baurès; Armando M Oliveira
Journal:  Front Psychol       Date:  2015-04-21
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