In our approach, we aim at an objective measurement of
synchrony in multimodal tutoring behavior. The use of signal
correlation provides a well formalized method that yields
gradual information about the degree of synchrony. For our
analysis, we used and extended an algorithm proposed by
Hershey & Movellan (2000) that correlates single-pixel
values of a video signal with the loudness of the
corresponding audio track over time. The results of all pixels are integrated over the video to achieve a scalar estimate of synchrony