• DocumentCode
    123136
  • Title

    Effect of back and mutual imitation on human´s perception of a humanoid´s imitative skill

  • Author

    Mohammad, Yasser ; Nishida, Tsutomu

  • Author_Institution
    Fac. of Eng., Assiut Univ., Assiut, Egypt
  • fYear
    2014
  • fDate
    25-29 Aug. 2014
  • Firstpage
    788
  • Lastpage
    795
  • Abstract
    A promising technology for teaching robots new skills is learning from demonstrations (LfD) or imitation learning. Even though there is currently large literature in imitation learning, smaller attention was given to studying social aspects of the imitation situation. Back imitation is the situation when the demonstrator (human) imitates the learner (robot) before engaging in the actual teaching. In this paper we study the effect of back-imitation on human´s perception of the robot´s imitative skill. This study is motivated by the need to improve the acceptance of the robot through increasing its perceived imitation skill. Our claim is that back-imitation can be used to achieve this goal. The paper provides two studies involving 24 subjects and 36 HRI sessions that were conducted to investigate this claim. Statistical analysis of the results of these studies show that participants assigned the robots with which they engaged in back-imitation higher scores in terms of imitative skill and overall performance compared with robots that they did not imitate. The paper discusses the implications of this result for the design of imitation situations and broader implications for HRI research.
  • Keywords
    human-robot interaction; humanoid robots; intelligent robots; statistical analysis; teaching; HRI sessions; LfD; back imitation; human perception; humanoid imitative skill; imitation learning; learning from demonstrations; mutual imitation; robot imitative skill; robot teaching; social aspects; statistical analysis; Bismuth; Educational institutions; Kinematics; Legged locomotion; Nickel; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot and Human Interactive Communication, 2014 RO-MAN: The 23rd IEEE International Symposium on
  • Conference_Location
    Edinburgh
  • Print_ISBN
    978-1-4799-6763-6
  • Type

    conf

  • DOI
    10.1109/ROMAN.2014.6926349
  • Filename
    6926349