The influence of analogy learning on decision-making in table tennis: Evidence from behavioural data

Abstract

Objectives: In sports it may be necessary for a performer to make a decision and execute a movement in close succession, or even concurrently. The manner in which a movement is controlled may impact on the degree to which the performer is able to combine decisions and movements effectively. Previous work has shown that if control of the movement has been acquired explicitly, with a high declarative knowledge content, dual-task conditions can be disruptive to performance of the movement. Previous work has also shown that, in contrast, if movement control is acquired by analogical instruction, with a low declarative knowledge content, motor performance is unaffected by dual-task conditions. It was, therefore, hypothesised that analogy learning will reduce the performance cost associated with processing motor responses while making high-complexity decisions. Methods: Participants learnt to hit a table tennis topspin forehand using either a single analogical instruction or a set of written instructions (explicit learning). Motor performance was assessed when decisions about the direction in which to hit the ball were either low in complexity or high in complexity. Results: Low-complexity decisions had no effect on motor performance in either condition. However, high-complexity decisions caused a relative performance deterioration in the Explicit condition, but not in the Analogy condition. Conclusions: These findings extend the implicit motor learning literature by highlighting the role of analogy learning in the complex interaction between decision-making and movement control in sport. © 2006 Elsevier Ltd. All rights reserved.