Action synchronization with biological motion

Lincoln J. Colling, William Forde Thompson, John Sutton

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review


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.
Original languageEnglish
Title of host publicationASCS09 : proceedings of the 9th Conference of the Australasian Society for Cognitive Science
EditorsWayne Christensen, Elizabeth Schier, John Sutton
Place of PublicationNorth Ryde
PublisherMacquarie Centre for Cognitive Science
ISBN (Print)9780646529189
Publication statusPublished - 2010
Externally publishedYes


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