title: Self-recognition of avatar motion: how do I know it's me?
abstract: When motion is isolated from form cues and viewed from third-person perspectives, individuals are able to recognize their own whole body movements better than those of friends. Because we rarely see our own bodies in motion from third-person viewpoints, this self-recognition advantage may indicate a contribution to perception from the motor system. Our first experiment provides evidence that recognition of self-produced and friends' motion dissociate, with only the latter showing sensitivity to orientation. Through the use of selectively disrupted avatar motion, our second experiment shows that self-recognition of facial motion is mediated by knowledge of the local temporal characteristics of one's own actions. Specifically, inverted self-recognition was unaffected by disruption of feature configurations and trajectories, but eliminated by temporal distortion. While actors lack third-person visual experience of their actions, they have a lifetime of proprioceptive, somatosensory, vestibular and first-person-visual experience. These sources of contingent feedback may provide actors with knowledge about the temporal properties of their actions, potentially supporting recognition of characteristic rhythmic variation when viewing self-produced motion. In contrast, the ability to recognize the motion signatures of familiar others may be dependent on configural topographic cues.
authors.affiliation: Cognitive, Perceptual and Brain Sciences, Division of Psychology and Language Sciences, University College London, London, UK. r.cook@ucl.ac.uk
authors.forename: Richard
authors.initials: R
authors.lastname: Cook
authors.forename: Alan
authors.initials: A
authors.lastname: Johnston
authors.forename: Cecilia
authors.initials: C
authors.lastname: Heyes
mesh_terms: D000328:Adult; D005149:Facial Expression; D005260:Female; D006801:Humans; D008297:Male; D009039:Motion Perception; D010775:Photic Stimulation; D021641:Recognition, Psychology / Q000502:physiology*