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
    PublisherSpringer Verlag
    Pages194-200
    Number of pages7
    Volume618
    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)18650929

    Other

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

    Keywords

    • Brain functional connection
    • Cerebellum
    • Uncanny valley

    ASJC Scopus subject areas

    • Computer Science(all)

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  • Cite this

    Tawatsuji, Y., & Matsui, T. (2016). Qualitative model for neuro-functional mechanism inducing human error detection to humanlike agents based on cortico-cerebellar function. In HCI International 2016 – Posters’ Extended Abstracts - 18th International Conference, HCI International 2016, Proceedings (Vol. 618, pp. 194-200). (Communications in Computer and Information Science; Vol. 618). Springer Verlag. https://doi.org/10.1007/978-3-319-40542-1_31