• DocumentCode
    1637692
  • Title

    People interpret robotic non-linguistic utterances Categorically

  • Author

    Read, R. ; Belpaeme, Tony

  • Author_Institution
    Centre for Robot. & Neural Syst., Plymouth Univ., Plymouth, UK
  • fYear
    2013
  • Firstpage
    209
  • Lastpage
    210
  • Abstract
    This paper presents an experiment testing whether adults exhibit Categorical Perception when rating non-linguistic utterances, made by a Nao robot, on an affective level. This experiment followed the traditional methodology used in psychology, with some minor alterations. A stimulus continuum was produced and subjects asked to complete a discrimination and a identification task. In the former subjects were asked to rate whether stimulus pairs were affectively different while in the latter they were asked to rate single stimuli affectively using a facial gesture tool. Results present compelling evidence for the presence of Categorical Perception in this particular case.
  • Keywords
    face recognition; gesture recognition; human-robot interaction; humanoid robots; mobile robots; natural language interfaces; robot vision; speech processing; visual perception; HRI; NLI; NLU; Nao robot; affective level; categorical perception; discrimination task; facial gesture tool; human-robot interaction; identification task; natural language interaction; psychology; robotic nonlinguistic utterances interpretation; stimulus continuum; Acoustics; Educational institutions; Electronic mail; Human-robot interaction; Natural languages; Prototypes; Robots; Affective Displays; Categorical Perception; Human-Robot Interaction; Non-Linguistic Utterances; Social Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Human-Robot Interaction (HRI), 2013 8th ACM/IEEE International Conference on
  • Conference_Location
    Tokyo
  • ISSN
    2167-2121
  • Print_ISBN
    978-1-4673-3099-2
  • Electronic_ISBN
    2167-2121
  • Type

    conf

  • DOI
    10.1109/HRI.2013.6483575
  • Filename
    6483575