Motor experience interacts with effector information during action prediction

Lincoln J. Colling, William F. Thompson, John Sutton

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Recent theory suggests that action prediction relies of a motor emulation mechanism that works by mapping observed actions onto the observer action system so that predictions can be generated using that same predictive mechanisms that underlie action control. This suggests that action prediction may be more accurate when there is a more direct mapping between the stimulus and the observer. We tested this hypothesis by comparing prediction accuracy for two stimulus types. A mannequin stimulus which contained information about the effectors used to produce the action and a point stimulus, which contained identical dynamic information but no effector information. Prediction was more accurate for the mannequin stimulus. However, this effect was dependent on the observer having previous experience performing the observed action. This suggests that experienced and naıve observers might generate predictions in qualitatively difference ways, which may relate to the presence of an internal representation of the action laid down through action performance.
Original languageEnglish
Title of host publicationProceedings of the 35th annual conference of the Cognitive Science Society
EditorsM. Knauff, M. Pauen, N. Sebanz, I. Wachsmuth
Place of PublicationAustin
PublisherCognitive Science Society
Pages2082-2087
Number of pages6
ISBN (Print)9780976831891
Publication statusPublished - 2013
EventAnnual Conference of the Cognitive Science Society (35th : 2013) - Berlin
Duration: 31 Jul 20133 Aug 2013

Conference

ConferenceAnnual Conference of the Cognitive Science Society (35th : 2013)
CityBerlin
Period31/07/133/08/13

Keywords

  • Joint action
  • embodied cognition
  • perception-action
  • action prediction

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  • Cite this

    Colling, L. J., Thompson, W. F., & Sutton, J. (2013). Motor experience interacts with effector information during action prediction. In M. Knauff, M. Pauen, N. Sebanz, & I. Wachsmuth (Eds.), Proceedings of the 35th annual conference of the Cognitive Science Society (pp. 2082-2087). Austin: Cognitive Science Society.