Action synchronization with biological motion

The ability to predict the actions of other agents is vital for joint action tasks. Recent theory suggests that action prediction relies on an emulator system that permits observers to use information about their own motor dynamics to predict the actions of other agents. If this is the case, then predictions for self-generated actions should be more accurate than predictions for other-generated actions. We tested this hypothesis by employing a self/other synchronization paradigm where prediction accuracy for recording of self-generated movements was compared with prediction accuracy for other-generated movements. As expected, predictions were more accurate when the observer’s movement dynamics matched the movement dynamics of the recording. This is consistent with that idea that the observer’s movement dynamics influence the predictions they generate.