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Communication Dans Un Congrès Année : 2015

Social Personalized Human-Machine Interaction for People with Autism: Defining User Profiles and First Contact with a Robot

Pauline Chevalier
  • Fonction : Auteur
Adriana Tapus
  • Fonction : Auteur
Brice Isableu
  • Fonction : Auteur

Résumé

Our research aims to develop a new personalized social interaction model between a humanoid robot and/or a virtual agent and an individual suffering of Autistic Spectrum Disorder (ASD), so as to enhance his/her social and communication skills. Because of the intra-individual variability among the ASD population, our objective is to propose a customized social interaction for each individual. In light of the ASD impact on vision and motor processing [1], [2], and in order to define individual's profile, we posit that the individual's reliance to proprioceptive and kinematic visual cues will affect the way he/she interacts with a social agent. A first experiment that defines each participants' perceptivo-cognitive and sensorimotor profile with respect to the integration of visual inputs has already been conducted. We also presented the Nao robot to 4 children with ASD, and analyzed their behavior prior to their profiles. First results are promising.
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Dates et versions

hal-01838679 , version 1 (13-07-2018)

Identifiants

  • HAL Id : hal-01838679 , version 1

Citer

Pauline Chevalier, Adriana Tapus, Jean-Claude Martin, Brice Isableu. Social Personalized Human-Machine Interaction for People with Autism: Defining User Profiles and First Contact with a Robot. ACM/IEEE International Conference on Human-Robot Interaction, May 2015, Portland, United States. ⟨hal-01838679⟩
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