• DocumentCode
    186290
  • Title

    A pilot study using imitation and storytelling scenarios as activities for labelling emotions by children with autism using a humanoid robot

  • Author

    Costa, Sandra ; Soares, Filomena ; Pereira, Ana Paula ; Santos, Cristina ; Hiolle, Antoine

  • Author_Institution
    R&D Centre Algoritmi, Univ. of Minho, Guimarães, Portugal
  • fYear
    2014
  • fDate
    13-16 Oct. 2014
  • Firstpage
    299
  • Lastpage
    304
  • Abstract
    In this paper we present a child-robot interaction pilot study, focusing on recognizing and labelling emotions displayed by a humanoid robot. ZECA (Zeno Engaging Children with Autism) has a special skin covering its face which allows the display of facial expressions representing five emotions: joy, sadness, fear, anger, and surprise. These facial expressions were used in two different game scenarios, involving imitation and storytelling activities. The goal of these scenarios is to help the child acquire knowledge about different emotions and to improve their skill in recognizing them. The results show that these scenarios are appropriate for the goal established for this study, and positive behaviours concerning non-verbal communication were observed. This exploratory study demonstrated the possible positive outcomes this child-robot interaction can produce and highlighted the issues regarding data collection and their analysis that will inform future studies.
  • Keywords
    human-robot interaction; humanoid robots; ZECA robot; Zeno engaging children with autism; child-robot interaction; children with autism; emotion labelling; emotion representation; facial expression; humanoid robot; imitation scenario; storytelling scenario; Emotion recognition; Face; Games; Humanoid robots; Labeling; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2014 Joint IEEE International Conferences on
  • Conference_Location
    Genoa
  • Type

    conf

  • DOI
    10.1109/DEVLRN.2014.6982997
  • Filename
    6982997