The thing that should not be: predictive coding and the uncanny valley in perceiving human and humanoid robot actions.
Journal Information
Full Title: Soc Cogn Affect Neurosci
Abbreviation: Soc Cogn Affect Neurosci
Country: Unknown
Publisher: Unknown
Language: N/A
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Subject Category: Social Sciences
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"Conflict of Interest None declared."
"The authors thank Patrick Haggard, Antonia Hamilton, James Kilner, Takashi Minato, Javier Movellan, Marty Sereno, Osaka University Intelligent Robotics Laboratory and the Wellcome Trust Centre for Neuroimaging. This research was funded by an innovative research grant to APS from the Kavli Institute for Brain and Mind, University of California, San Diego. APS was additionally supported by California Institute for Telecommunication and Information Technology (Calit2); CF by Danish National Research Foundation; HI by Japan Society for the Promotion of Science; JD by The Royal Society. Repliee Q2 was developed in collaboration with Kokoro Inc."
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Last Updated: Aug 05, 2025