Computer Methods to Assess Motor Imagery

Motor imagery plays an important role in motor control and learning. Motor imagery can be assessed on three levels: subjective experience, motor behaviour, and physiological measures. In this paper we propose a computer-aided selection test (CAST) which enables researchers to analyse the procedure of reconstructing mental representations. The two versions of the CAST (pictures vs. verbal items) allow a thorough procedural analysis of motor imagery. The added value of the developed CAST, e.g., assessing cognitive time, corrections, and order of selection, is demonstrated using the data of an experiment in motor learning.