Literature DB >> 19820920

The effect of haptic guidance, aging, and initial skill level on motor learning of a steering task.

Laura Marchal-Crespo1, Stephanie McHughen, Steven C Cramer, David J Reinkensmeyer.   

Abstract

In a previous study, we found that haptic guidance from a robotic steering wheel can improve short-term learning of steering of a simulated vehicle, in contrast to several studies of other tasks that had found that the guidance either impairs or does not aid motor learning. In this study, we examined whether haptic guidance-as-needed can improve long-term retention (across 1 week) of the steering task, with age and initial skill level as independent variables. Training with guidance-as-needed allowed all participants to learn to steer without experiencing large errors. For young participants (age 18-30), training with guidance-as-needed produced better long-term retention of driving skill than did training without guidance. For older participants (age 65-92), training with guidance-as-needed improved long-term retention in tracking error, but not significantly. However, for a subset of less skilled, older subjects, training with guidance-as-needed significantly improved long-term retention. The benefits of guidance-based training were most evident as an improved ability to straighten the vehicle direction when coming out of turns. In general, older participants not only systematically performed worse at the task than younger subjects (errors approximately 3 times greater), but also apparently learned more slowly, forgetting a greater percentage of the learned task during the 1 week layoffs between the experimental sessions. This study demonstrates that training with haptic guidance can benefit long-term retention of a driving skill for young and for some old drivers. Training with haptic guidance is more useful for people with less initial skill.

Entities:  

Mesh:

Year:  2009        PMID: 19820920      PMCID: PMC2832903          DOI: 10.1007/s00221-009-2026-8

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


  16 in total

1.  The effect of a fast bowling harness in cricket: an intervention study.

Authors:  R Wallis; B Elliott; M Koh
Journal:  J Sports Sci       Date:  2002-06       Impact factor: 3.337

2.  Effect of manual guidance on acquiring a new bimanual coordination pattern.

Authors:  Seijiro Tsutsui; Kuniyasu Imanaka
Journal:  Res Q Exerc Sport       Date:  2003-03       Impact factor: 2.500

3.  The influence of age on learning a locomotor task.

Authors:  H J A van Hedel; V Dietz
Journal:  Clin Neurophysiol       Date:  2004-09       Impact factor: 3.708

Review 4.  Motor learning in man: a review of functional and clinical studies.

Authors:  Ulrike Halsband; Regine K Lange
Journal:  J Physiol Paris       Date:  2006-05-26

5.  Aging affects motor skill learning when the task requires inhibitory control.

Authors:  Julie Brosseau; Marie-Julie Potvin; Isabelle Rouleau
Journal:  Dev Neuropsychol       Date:  2007       Impact factor: 2.253

6.  The influence of summary knowledge of results and aging on motor learning.

Authors:  H Carnahan; A A Vandervoort; L R Swanson
Journal:  Res Q Exerc Sport       Date:  1996-09       Impact factor: 2.500

7.  Effects of aging and reduced relative frequency of knowledge of results on learning a motor skill.

Authors:  L R Wishart; T D Lee
Journal:  Percept Mot Skills       Date:  1997-06

8.  AGE-RELATED DEFICITS IN MOTOR LEARNING AND DIFFERENCES IN FEEDBACK PROCESSING DURING THE PRODUCTION OF A BIMANUAL COORDINATION PATTERN.

Authors:  Stephan P Swinnen
Journal:  Cogn Neuropsychol       Date:  1998-07-01       Impact factor: 2.468

9.  Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors.

Authors:  James L Patton; Mary Ellen Stoykov; Mark Kovic; Ferdinando A Mussa-Ivaldi
Journal:  Exp Brain Res       Date:  2005-10-26       Impact factor: 1.972

10.  Motor plasticity in a juggling task in older adults-a developmental study.

Authors:  Claudia Voelcker-Rehage; Klaus Willimczik
Journal:  Age Ageing       Date:  2006-05-11       Impact factor: 10.668

View more
  31 in total

1.  Can proprioceptive training improve motor learning?

Authors:  Jeremy D Wong; Dinant A Kistemaker; Alvin Chin; Paul L Gribble
Journal:  J Neurophysiol       Date:  2012-09-12       Impact factor: 2.714

Review 2.  Augmented visual, auditory, haptic, and multimodal feedback in motor learning: a review.

Authors:  Roland Sigrist; Georg Rauter; Robert Riener; Peter Wolf
Journal:  Psychon Bull Rev       Date:  2013-02

3.  Non-linear adaptive controllers for an over-actuated pneumatic MR-compatible stepper.

Authors:  Christoph Hollnagel; Heike Vallery; Rainer Schädler; Isaac Gómez-Lor López; Lukas Jaeger; Peter Wolf; Robert Riener; Laura Marchal-Crespo
Journal:  Med Biol Eng Comput       Date:  2013-02-22       Impact factor: 2.602

4.  Robotic Assistance for Training Finger Movement Using a Hebbian Model: A Randomized Controlled Trial.

Authors:  Justin B Rowe; Vicky Chan; Morgan L Ingemanson; Steven C Cramer; Eric T Wolbrecht; David J Reinkensmeyer
Journal:  Neurorehabil Neural Repair       Date:  2017-08       Impact factor: 3.919

5.  The effect of haptic guidance and visual feedback on learning a complex tennis task.

Authors:  Laura Marchal-Crespo; Mark van Raai; Georg Rauter; Peter Wolf; Robert Riener
Journal:  Exp Brain Res       Date:  2013-09-08       Impact factor: 1.972

6.  The effectiveness of robotic training depends on motor task characteristics.

Authors:  Laura Marchal-Crespo; Nicole Rappo; Robert Riener
Journal:  Exp Brain Res       Date:  2017-10-05       Impact factor: 1.972

7.  Time flies when you are in a groove: using entrainment to mechanical resonance to teach a desired movement distorts the perception of the movement's timing.

Authors:  Daniel K Zondervan; Jaime E Duarte; Justin B Rowe; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2014-01-08       Impact factor: 1.972

8.  Progressive reduction versus fixed level of support during training: When less is less.

Authors:  Winona Snapp-Childs; Xiaoye Michael Wang; Geoffrey P Bingham
Journal:  Hum Mov Sci       Date:  2015-12-09       Impact factor: 2.161

9.  Age effects on rotational hand action.

Authors:  S K M Varadhan; Wei Zhang; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Hum Mov Sci       Date:  2012-01-09       Impact factor: 2.161

10.  Development and pilot testing of HEXORR: hand EXOskeleton rehabilitation robot.

Authors:  Christopher N Schabowsky; Sasha B Godfrey; Rahsaan J Holley; Peter S Lum
Journal:  J Neuroeng Rehabil       Date:  2010-07-28       Impact factor: 4.262

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.