Qualitative model for neuro-functional mechanism inducing human error detection to humanlike agents based on cortico-cerebellar function

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

1 Citation (Scopus)

Abstract

The uncanny valley is a major phenomenon that occurs during the implementation of facial expressions in a humanlike agent. Recent studies have explained that the negative impression of the agent’s expressions is a “prediction error.” We hypothesized that the prediction error stemmed from the differential output of dual processing, - that is, emotional and rational processing, - and it negatively affected a person’s impression of the facial expression of the agent, which was similar to that when perceiving an eerie sensation. A qualitative computational model was proposed to clarify this mechanism according to cortico-cerebellar function to compute the prediction of the humanlike agent’s facial movement. Thus, rapid emotional processing was indispensable with the thalamus playing an essential role in the processing.

Original languageEnglish
Title of host publicationHCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings
EditorsConstantine Stephanidis
PublisherSpringer Verlag
Pages194-200
Number of pages7
ISBN (Print)9783319405414
DOIs
Publication statusPublished - 2016
Event18th International Conference on Posters’ Extended Abstracts, HCI International 2016 - Toronto, Canada
Duration: 2016 Jul 172016 Jul 22

Publication series

NameCommunications in Computer and Information Science
Volume618
ISSN (Print)1865-0929

Other

Other18th International Conference on Posters’ Extended Abstracts, HCI International 2016
Country/TerritoryCanada
CityToronto
Period16/7/1716/7/22

Keywords

  • Brain functional connection
  • Cerebellum
  • Uncanny valley

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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