Literature DB >> 24091772

Optimizing the control of high-ID movements: rethinking the power of the visual display.

Jason B Boyle1, Stefan Panzer, Chaoyi Wang, Deanna Kennedy, Charles H Shea.   

Abstract

A recent experiment by Boyle et al. (Exp Brain Res 223:377-387, 2012a) demonstrated that providing a sine-wave template for participants to follow enhances performance and transfer on difficult (ID = 6) Fitts tasks. Another experiment (Fernandez and Bootsma in Acta Psychol 129:217-227, 2008) demonstrated the effectiveness of applying a nonlinear transformation of the visual feedback provided to participants executing difficult aiming movements. The present experiment was designed to determine whether these two enhancements when used together would provide further enhancements to difficult aiming movements. Participants were randomly assigned to one of the three acquisition conditions. Participants in the Fitts and Fittslog condition were asked to flex/extend their arm in the horizontal plane at the elbow joint (wrist stabilized) in an attempt to move back and forth between two targets as quickly and accurately as possible. In the Sinelog condition, participants were asked to track a sine-wave pattern. The timing for Sinelog conditions was set to result in total times (movement time + dwell time) similar to that anticipated for the Fittslog condition. The feedback displays for Fittslog and Sinelog groups were subjected to a nonlinear transformation, but not for the Fitts group. Following 54 acquisition trials (17.5 s each) under their assigned condition, Test 1 was conducted under the same conditions as the participant experienced during the acquisition trials and Test 2 was conducted under Fitts conditions with the nonlinear transformation of the display data. Test 3 was conducted under typical Fitts conditions with no transformation of the display data. The results for Tests 1 and 2 indicated that total time and movement time for the Fittslog and Sinelog groups were reduced relative to the Fitts condition. In addition, dwell time was significantly lower, a larger proportion of movement time was spent in the acceleration portion of the movement, and normalized peak velocity was significantly lower for the participants in the Sinelog condition than for participants in the Fittslog condition. On Test 3, an untransformed Fitts condition was imposed; the Sinelog group outperformed the Fittslog condition on all variables except hits, endpoint variability, and peak velocity where the Fittslog and Sinelog groups performed similarly.

Entities:  

Mesh:

Year:  2013        PMID: 24091772     DOI: 10.1007/s00221-013-3712-0

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


  45 in total

1.  Internal vs external generation of movements: differential neural pathways involved in bimanual coordination performed in the presence or absence of augmented visual feedback.

Authors:  Filiep Debaere; Nicole Wenderoth; Stefan Sunaert; Paul Van Hecke; Stephan P Swinnen
Journal:  Neuroimage       Date:  2003-07       Impact factor: 6.556

2.  Systematic scaling of target width: dynamics, planning, and feedback.

Authors:  John J Buchanan; Jin-Hoon Park; Charles H Shea
Journal:  Neurosci Lett       Date:  2004-09-09       Impact factor: 3.046

3.  Bimanual Fitts' tasks: Kelso, Southard, and Goodman, 1979 revisited.

Authors:  Charles H Shea; Jason Boyle; Attila J Kovacs
Journal:  Exp Brain Res       Date:  2011-11-02       Impact factor: 1.972

4.  Perceptual and attentional influences on continuous 2:1 and 3:2 multi-frequency bimanual coordination.

Authors:  Attila J Kovacs; John J Buchanan; Charles H Shea
Journal:  J Exp Psychol Hum Percept Perform       Date:  2010-08       Impact factor: 3.332

5.  The learning of 90° continuous relative phase with and without Lissajous feedback: external and internally generated bimanual coordination.

Authors:  Attila J Kovacs; Charles H Shea
Journal:  Acta Psychol (Amst)       Date:  2011-01-08

6.  Continuous concurrent feedback degrades skill learning: implications for training and simulation.

Authors:  R A Schmidt; G Wulf
Journal:  Hum Factors       Date:  1997-12       Impact factor: 2.888

7.  Sensory integration in the learning of an aiming task.

Authors:  L Proteau
Journal:  Can J Exp Psychol       Date:  1995-03

8.  Models for the speed and accuracy of aimed movements.

Authors:  D E Meyer; J E Smith; C E Wright
Journal:  Psychol Rev       Date:  1982-09       Impact factor: 8.934

9.  Increasingly complex bimanual multi-frequency coordination patterns are equally easy to perform with on-line relative velocity feedback.

Authors:  Jason Boyles; Stefan Panzer; Charles H Shea
Journal:  Exp Brain Res       Date:  2011-11-26       Impact factor: 1.972

10.  Specificity of practice: interaction between concurrent sensory information and terminal feedback.

Authors:  Yannick Blandin; Lucette Toussaint; Charles H Shea
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2008-07       Impact factor: 3.051

View more
  1 in total

1.  A novel approach to enhancing limb control in older adults.

Authors:  Jason B Boyle; Deanna M Kennedy; Charles H Shea
Journal:  Exp Brain Res       Date:  2015-04-10       Impact factor: 1.972

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.