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Neuroscience to Investigate Social Mechanisms Involved in Human-Robot Interactions

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  • معلومة اضافية
    • Contributors:
      Laboratoire d'Informatique et des Systèmes (LIS) (Marseille, Toulon) (LIS); Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS); Laboratoire Parole et Langage (LPL); Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS); Institut de Neurosciences de la Timone (INT); ACM; ANR-16-CONV-0002,ILCB,ILCB: Institute of Language Communication and the Brain(2016); ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011)
    • بيانات النشر:
      HAL CCSD
    • الموضوع:
      2020
    • Collection:
      Université de Toulon: HAL
    • الموضوع:
    • نبذة مختصرة :
      International audience ; To what extent do human-robot interactions (HRI) rely on social processes similar to human-human interactions (HHI)? To address this question objectively, we use a unique corpus. Brain activity and behaviors were recorded synchronously while participants were discussing with a human (confederate of the experimenter) or a robotic device (controlled by the confederate). Here, we focus on two main regions of interest (ROIs), that form the core of "the social brain", the right temporoparietal junction [rTPJ] and right medial prefrontal cortex [rMPFC]. An new analysis approach derived from multivariate time-series forecasting is used. A prediction score describes the ability to predict brain activity for each ROI, and results identify which behavioral features, built from raw recordings of the conversations, are used for this prediction. Results identify some dierences between HHI and HRI in the behavioral features predicting activity in these ROIs of the social brain, that could explain signicant dierences in the level of activity.
    • Relation:
      hal-03017217; https://hal.science/hal-03017217; https://hal.science/hal-03017217/document; https://hal.science/hal-03017217/file/Hmamouche_ICMI2020_LBR.pdf
    • الرقم المعرف:
      10.1145/3395035.3425263
    • الدخول الالكتروني :
      https://hal.science/hal-03017217
      https://hal.science/hal-03017217/document
      https://hal.science/hal-03017217/file/Hmamouche_ICMI2020_LBR.pdf
      https://doi.org/10.1145/3395035.3425263
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.FB45F066