Anzeige
Erschienen in:
2018 | OriginalPaper | Buchkapitel
9. Evaluation of Robot Appearance Using a Brain Science Technique
verfasst von : Goh Matsuda, Kazuo Hiraki, Hiroshi Ishiguro
Erschienen in: Geminoid Studies
Verlag: Springer Singapore
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
Abstract
We evaluate the humanlike-ness of humanoid robots using electroencephalography (EEG). As the activity of the human mirror-neuron system (MNS) is believed to reflect the humanlike-ness of observed agents, we compare the MNS activity of 17 participants while observing certain actions performed by a human, an extremely humanlike android, and a machine-like humanoid. We find the MNS to be significantly activated only when the participants observe actions performed by the human. Despite the participants’ rating of the android appearance as more humanlike than that of the robot, the MNS activity corresponding to each of the three agents does not differ. These findings suggest that appearance does not crucially affect MNS activity, and that factors such as motion should be targeted for improving the humanlike-ness of humanoid robots.