• DocumentCode
    565517
  • Title

    Does a robot that can learn verbs lead to better user perception?

  • Author

    Hasegawa, Dai ; Araki, Kenji

  • Author_Institution
    Hokkaido Univ., Sapporo, Japan
  • fYear
    2012
  • fDate
    5-8 March 2012
  • Firstpage
    143
  • Lastpage
    144
  • Abstract
    The current understanding is that human-likeness of a robot leads to better human perception. However, the factors have not been thoroughly studied. We conducted a laboratory experiment to examine two questions: how verb acquisition ability affects human perceptions on human-likeness and familiarity of a humanoid robot, intention to use the robot, and enjoyment and satisfaction of the interaction, and whether human-likeness mediates the links between the effects of interaction of verb acquisition between the human perceptions. The experiment involved 48 participants, and we found that the robot that was able to acquire two Japanese verbs, ”oku (to put/to place)” and ”hanasu (to move away from),” was perceived by participants as more familiar and satisfying than the one that knew the verbs from the beginning. We also found that human-likeness mediated the links between the effect of verb acquisition ability and other perceptions toward the robot.
  • Keywords
    human-robot interaction; humanoid robots; learning (artificial intelligence); natural language processing; Japanese verb acquisition ability; human perception; humanoid robot; interaction enjoyment; interaction satisfaction; user perception; verb learning; Cognitive science; Educational institutions; Human factors; Humans; Robots; USA Councils; Human Perception; Language Acquisition; Verb;
  • 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
    6249496