• DocumentCode
    565589
  • Title

    Modelling empathic behaviour in a robotic game companion for children: An ethnographic study in real-world settings

  • Author

    Leite, Iolanda ; Castellano, Ginevra ; Pereira, André ; Martinho, Carlos ; Pai, Ana

  • Author_Institution
    Inst. Super. Tecnico, Tech. Univ. of Lisbon, Lisbon, Portugal
  • fYear
    2012
  • fDate
    5-8 March 2012
  • Firstpage
    367
  • Lastpage
    374
  • Abstract
    The idea of autonomous social robots capable of assisting us in our daily lives is becoming more real every day. However, there are still many open issues regarding the social capabilities that those robots should have in order to make daily interactions with humans more natural. For example, the role of affective interactions is still unclear. This paper presents an ethnographic study conducted in an elementary school where 40 children interacted with a social robot capable of recognising and responding empathically to some of the children´s affective states. The findings suggest that the robot´s empathic behaviour affected positively how children perceived the robot. However, the empathic behaviours should be selected carefully, under the risk of having the opposite effect. The target application scenario and the particular preferences of children seem to influence the “degree of empathy” that social robots should be endowed with.
  • Keywords
    human-robot interaction; autonomous social robots; children; elementary school; empathic behaviour modelling; ethnographic study; real-world settings; robotic game companion; Educational institutions; Encoding; Feature extraction; Games; Interviews; Robot kinematics; Affect Recognition; Children; Empathy; Social Robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2012 7th ACM/IEEE International Conference on
  • Conference_Location
    Boston, MA
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4503-1063-5
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • Filename
    6249581