Segmentation count
REGRESSION, EVENT
Before evaluating segmentation agreement, we looked at differences in segmentation count, or the number of times participants pressed the spacebar to identify an event boundary throughout the video. Here, we used a multilevel Poisson regression with Group, Time, Activity, and their interactions, along with a random intercept effect of Participant and a random slope effect of Time, to predict the number of times users segmented. The predicted values from this model are plotted in Fig. Mean segmentation count (i.e., number of button presses) plotted separately for the Gyoza (left panel) and Tai chi groups (right panel) by activity. Error bars represent one standard error of the mean.