Literature DB >> 16575577

Optimizing rapid aiming behaviour: Movement kinematics depend on the cost of corrective modifications.

James Lyons1, Steve Hansen, Suzanne Hurding, Digby Elliott.   

Abstract

Recent studies have shown that the initial impulse associated with goal-directed aiming movements typically brings the limb to a position short of the target. This is because target overshooting is associated with greater temporal and energy costs than target undershooting. Presumably these costs can be expected to vary not only with the muscular forces required to move the limb, but also the gravitational forces inherent in the aiming task. In this study we examined the degree to which primary movement endpoint distributions depend on the direction of the movement with respect to gravity. We hypothesized that the magnitude of an undershoot bias would be greatest for downward movements because target overshooting necessitates a time and energy consuming movement reversal against gravity. Participants completed rapid aiming movements toward targets located above and below, as well as proximal and distal to a central home position. Movements were made both with and without additional mass attached to the limb. Although movement time did not vary with experimental condition, primary movement endpoint distributions were consistent with our predictions. Specifically, both greater undershooting and greater endpoint variability was associated with downward aiming movements. As well, a greater proportion of the overall movement time was spent in the corrective phase of the movement. These results are consistent with models of energy minimization that posit an inherent efficiency of control and hold that movements are organized to minimize movement time and energy expenditure and maximize mechanical advantages.

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Year:  2006        PMID: 16575577     DOI: 10.1007/s00221-006-0426-6

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  10 in total

Review 1.  A century later: Woodworth's (1899) two-component model of goal-directed aiming.

Authors:  D Elliott; W F Helsen; R Chua
Journal:  Psychol Bull       Date:  2001-05       Impact factor: 17.737

2.  The undershoot bias: learning to act optimally under uncertainty.

Authors:  Sascha E Engelbrecht; Neil E Berthier; Laura P O'Sullivan
Journal:  Psychol Sci       Date:  2003-05

3.  Variability effects on the internal structure of rapid aiming movements.

Authors:  C J Worringham
Journal:  J Mot Behav       Date:  1991-03       Impact factor: 1.328

4.  Terminal accuracy of unexpectedly loaded rapid movements: evidence for a mass-spring mechanism in programming.

Authors:  R A Schmidt; C McGown
Journal:  J Mot Behav       Date:  1980-06       Impact factor: 1.328

5.  Learning to optimize speed, accuracy, and energy expenditure: a framework for understanding speed-accuracy relations in goal-directed aiming.

Authors:  Digby Elliott; Steven Hansen; Jocelyn Mendoza; Luc Tremblay
Journal:  J Mot Behav       Date:  2004-09       Impact factor: 1.328

6.  Optimality in human motor performance: ideal control of rapid aimed movements.

Authors:  D E Meyer; R A Abrams; S Kornblum; C E Wright; J E Smith
Journal:  Psychol Rev       Date:  1988-07       Impact factor: 8.934

7.  The accuracy of aiming at a target. Some further evidence for a theory of intermittent control.

Authors:  W D Beggs; C I Howarth
Journal:  Acta Psychol (Amst)       Date:  1972-06

8.  Processing visual feedback information for movement control.

Authors:  L G Carlton
Journal:  J Exp Psychol Hum Percept Perform       Date:  1981-10       Impact factor: 3.332

9.  Motor-output variability: a theory for the accuracy of rapid motor acts.

Authors:  R A Schmidt; H Zelaznik; B Hawkins; J S Frank; J T Quinn
Journal:  Psychol Rev       Date:  1979-09       Impact factor: 8.934

10.  Energy-minimization bias: compensating for intrinsic influence of energy-minimization mechanisms.

Authors:  Flavio T P Oliveira; Digby Elliott; David Goodman
Journal:  Motor Control       Date:  2005-01       Impact factor: 1.422

  10 in total
  21 in total

1.  Movement strategies in vertical aiming of older adults.

Authors:  Simon J Bennett; Digby Elliott; Andre Rodacki
Journal:  Exp Brain Res       Date:  2011-11-25       Impact factor: 1.972

2.  Different damping responses explain vertical endpoint error differences between visual conditions.

Authors:  Jan M Hondzinski; Chelsea M Soebbing; Allyson E French; Sara A Winges
Journal:  Exp Brain Res       Date:  2016-01-28       Impact factor: 1.972

3.  Visuomotor system uses target features unavailable to conscious awareness.

Authors:  Gordon Binsted; Kyle Brownell; Zofia Vorontsova; Matthew Heath; Deborah Saucier
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-23       Impact factor: 11.205

4.  Factors influencing online control of video-aiming movements performed without vision of the cursor.

Authors:  Louis-Nicolas Veilleux; Luc Proteau
Journal:  Psychol Res       Date:  2009-03-25

5.  Effector mass and trajectory optimization in the online regulation of goal-directed movement.

Authors:  James J Burkitt; Victoria Staite; Afrisa Yeung; Digby Elliott; James L Lyons
Journal:  Exp Brain Res       Date:  2015-01-08       Impact factor: 1.972

6.  The violation of Fitts' Law: an examination of displacement biases and corrective submovements.

Authors:  James W Roberts; Jarrod Blinch; Digby Elliott; Romeo Chua; James L Lyons; Timothy N Welsh
Journal:  Exp Brain Res       Date:  2016-03-15       Impact factor: 1.972

7.  Colour-induced relationship between affect and reaching kinematics during a goal-directed aiming task.

Authors:  Camille K Williams; Lawrence E M Grierson; Heather Carnahan
Journal:  Exp Brain Res       Date:  2011-06-18       Impact factor: 1.972

8.  The influence of target context and early and late vision on goal-directed reaching.

Authors:  James Roberts; James J Burkitt; Bas Willemse; Alison Ludzki; James Lyons; Digby Elliott; Lawrence E M Grierson
Journal:  Exp Brain Res       Date:  2013-06-22       Impact factor: 1.972

9.  An optimal velocity for online limb-target regulation processes?

Authors:  Luc Tremblay; Valentin A Crainic; John de Grosbois; Arindam Bhattacharjee; Andrew Kennedy; Steve Hansen; Timothy N Welsh
Journal:  Exp Brain Res       Date:  2016-09-12       Impact factor: 1.972

10.  Manual obstacle avoidance takes into account visual uncertainty, motor noise, and biomechanical costs.

Authors:  Rajal G Cohen; Jason C Biddle; David A Rosenbaum
Journal:  Exp Brain Res       Date:  2009-10-23       Impact factor: 1.972

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