• DocumentCode
    1248881
  • Title

    Human-Recognizable Robotic Gestures

  • Author

    Cabibihan, John-John ; So, Wing-Chee ; Pramanik, Soumo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • Volume
    4
  • Issue
    4
  • fYear
    2012
  • Firstpage
    305
  • Lastpage
    314
  • Abstract
    For robots to be accommodated in human spaces and in daily human activities, robots should be able to understand messages from their human conversation partner. In the same light, humans must also understand the messages that are being communicated to them by robots, including nonverbal messages. We conducted a Web-based video study wherein participants interpreted the iconic gestures and emblems produced by an anthropomorphic robot. Out of the 15 robotic gestures presented, we found 6 that can be accurately recognized by the human observer. These were nodding, clapping, hugging, expressing anger, walking, and flying. We review these gestures for their meaning from literature on human and animal behavior. We conclude by discussing the possible implications of these gestures for the design of social robots that are able to have engaging interactions with humans.
  • Keywords
    gesture recognition; human-robot interaction; mobile robots; Web-based video; anthropomorphic robot; clapping; expressing anger; flying; hugging; human conversation partner; human-recognizable robotic gestures; iconic gesture; nodding; nonverbal message; social robot; walking; Gesture recognition; Human-robot interaction; Humanoid robots; Legged locomotion; Robot sensing systems; Emblematic gestures; human–robot interaction; humanoid robots; iconic gestures; robot gestures; social robotics;
  • fLanguage
    English
  • Journal_Title
    Autonomous Mental Development, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1943-0604
  • Type

    jour

  • DOI
    10.1109/TAMD.2012.2208962
  • Filename
    6246674