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 predic-tion relies on an emulator system that permits observers to use information about their own motor dynamics to predict the ac-tions 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 pre-diction 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 move-ment dynamics of the recording. This is consistent with that idea that the observer's movement dynamics influence the predictions they generate.