Abstract
Concurrent feedback provided during acquisition can enhance performance of novel tasks. The ‘guidance hypothesis’ predicts that feedback provision leads to dependence and poor performance in its absence. However, appropriately-structured feedback information provided through sound (‘sonification’) may not be subject to this effect. We test this directly using a rhythmic bimanual shape-tracing task in which participants learned to move at a 4:3 timing ratio. Sonification of movement and demonstration was compared to two other learning conditions: (1) sonification of task demonstration alone and (2) completely silent practice (control). Sonification of movement emerged as the most effective form of practice, reaching significantly lower error scores than control. Sonification of solely the demonstration, which was expected to benefit participants by perceptually unifying task requirements, did not lead to better performance than control. Good performance was maintained by participants in the sonification condition in an immediate retention test without feedback, indicating that the use of this feedback can overcome the guidance effect. On a 24-hour retention test, performance had declined and was equal between groups. We argue that this and similar findings in the feedback literature are best explained by an ecological approach to motor skill learning which places available perceptual information at the highest level of importance.
Original language | English |
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Pages (from-to) | 850–862 |
Number of pages | 13 |
Journal | Psychological Research |
Volume | 81 |
Issue number | 4 |
Early online date | 27 May 2016 |
DOIs | |
Publication status | Published - Jul 2017 |
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Dive into the research topics of 'Transposing Musical Skill: Sonification of movement as concurrent augmented feedback enhances learning in a bimanual task'. Together they form a unique fingerprint.Student theses
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Human Movement Sonification for Motor Skill Learning
Dyer, J. (Author), Rodger, M. (Supervisor) & Stapleton, P. (Supervisor), Jun 2017Student thesis: Doctoral Thesis › Doctor of Philosophy
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Profiles
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Matthew Rodger
- School of Psychology - Senior Lecturer
- Intelligent Autonomous Manufacturing Systems
Person: Academic