Literature DB >> 15784952

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

Flavio T P Oliveira1, Digby Elliott, David Goodman.   

Abstract

Anecdotal and scientific evidence suggest humans tend to undershoot targets in rapid movements. We investigated whether this undershoot bias derives from energy minimization mechanisms. Participants performed 200 trials of two tasks: (1) a simple slider push to a target, and (2) a modified version of (1), designed so overshooting was less energy consuming than undershooting. Results support that the undershoot bias found in (1), as well as the overshoot bias found in (2), results from an energy minimization mechanism. Energy minimization might be inherent to biological systems. Movement biases were un desirable for maximal performance. Nonetheless, participants presented biases despite financial incentives to perform maximally. Participants did, however, appear sensitive to systematic errors produced by the attraction to less energy costly responses. We suggest that the motor system is constrained such that maximal performance trades off with energetic optimality although humans are able to learn and compensate for the energy minimization biases.

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Mesh:

Year:  2005        PMID: 15784952     DOI: 10.1123/mcj.9.1.101

Source DB:  PubMed          Journal:  Motor Control        ISSN: 1087-1640            Impact factor:   1.422


  13 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.  A lower visual field advantage for endpoint stability but no advantage for online movement precision.

Authors:  Olav Krigolson; Matthew Heath
Journal:  Exp Brain Res       Date:  2006-02-25       Impact factor: 1.972

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

Authors:  James Lyons; Steve Hansen; Suzanne Hurding; Digby Elliott
Journal:  Exp Brain Res       Date:  2006-03-31       Impact factor: 1.972

4.  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

5.  Stimulus-driven saccades are characterized by an invariant undershooting bias: no evidence for a range effect.

Authors:  Caitlin Gillen; Jeffrey Weiler; Matthew Heath
Journal:  Exp Brain Res       Date:  2013-07-25       Impact factor: 1.972

6.  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

7.  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

8.  An exploratory investigation of the effects of whole-head vibration on jaw movements.

Authors:  Meg Simione; Jordan R Green
Journal:  Exp Brain Res       Date:  2018-01-23       Impact factor: 1.972

9.  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

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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