| The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions. | |
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MedLine Citation:
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PMID: 21515639 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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Using functional magnetic resonance imaging (fMRI) repetition suppression, we explored the selectivity of the human action perception system (APS), which consists of temporal, parietal and frontal areas, for the appearance and/or motion of the perceived agent. Participants watched body movements of a human (biological appearance and movement), a robot (mechanical appearance and movement) or an android (biological appearance, mechanical movement). With the exception of extrastriate body area, which showed more suppression for human like appearance, the APS was not selective for appearance or motion per se. Instead, distinctive responses were found to the mismatch between appearance and motion: whereas suppression effects for the human and robot were similar to each other, they were stronger for the android, notably in bilateral anterior intraparietal sulcus, a key node in the APS. These results could reflect increased prediction error as the brain negotiates an agent that appears human, but does not move biologically, and help explain the 'uncanny valley' phenomenon. |
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Authors:
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Ayse Pinar Saygin; Thierry Chaminade; Hiroshi Ishiguro; Jon Driver; Chris Frith |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-4-22 |
Journal Detail:
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Title: Social cognitive and affective neuroscience Volume: - ISSN: 1749-5024 ISO Abbreviation: - Publication Date: 2011 Apr |
Date Detail:
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Created Date: 2011-4-25 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101288795 Medline TA: Soc Cogn Affect Neurosci Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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9500 Gilman Drive, Department of Cognitive Science, MC 0515, La Jolla, CA 92093-0515, USA. saygin@cogsci.ucsd.edu. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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