Issue |
BIO Web of Conferences
Volume 1, 2011
The International Conference SKILLS 2011
|
|
---|---|---|
Article Number | 00084 | |
Number of page(s) | 4 | |
DOI | https://doi.org/10.1051/bioconf/20110100084 | |
Published online | 15 December 2011 |
Self-Controlled Feedback for a Complex Motor Task
Sensory Motor Systems Lab, ETH Zurich & Spinal Cord Injury Center, University Hospital Balgrist, Zurich, Switzerland
E-mail: roland.sigrist@mavt.ethz.ch, georg.rauter@mavt.ethz.ch, peter.wolf@mavt.ethz.ch, robert.riener@mavt.ethz.ch
Self-controlled augmented feedback enhances learning of simple motor tasks. Thereby, learners tend to request feedback after trials that were rated as good by themselves. Feedback after good trials promotes positive reinforcement, which enhances motor learning. The goal of this study was to investigate when naïve learners request terminal visual feedback in a complex motor task, as conclusions drawn on simple tasks can hardly be transferred to complex tasks. Indeed, seven of nine learners stated to have intended to request feedback predominantly after good trials, but in contrast to their intention, kinematic analysis showed that feedback was rather requested randomly (23% after good, 44% after intermediate, 33% after bad trials). Moreover, requesting feedback after good trials did not correlate with learning success. It seems that self-estimation of performance in complex tasks is challenging. As a consequence, learners might have focused on certain movement aspects rather than on the overall movement. Further studies should assess the current focus of the learner in detail to gain more insight in self-estimation capabilities during complex motor task learning.
© Owned by the authors, published by EDP Sciences, 2011
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.