• DocumentCode
    1638548
  • Title

    A model for synthesizing a combined verbal and nonverbal behavior based on personality traits in human-robot interaction

  • Author

    Aly, Amir ; Tapus, Adriana

  • Author_Institution
    Cognitive Robot. Lab., ENSTA-ParisTech, Palaiseau, France
  • fYear
    2013
  • Firstpage
    325
  • Lastpage
    332
  • Abstract
    Robots are more and more present in our daily life; they have to move into human-centered environments, to interact with humans, and to obey some social rules so as to produce an appropriate social behavior in accordance with human´s profile (i.e., personality, state of mood, and preferences). Recent researches discussed the effect of personality traits on the verbal and nonverbal production, which plays a major role in transferring and understanding messages in a social interaction between a human and a robot. The characteristics of the generated gestures (e.g., amplitude, direction, rate, and speed) during the nonverbal communication can differ according to the personality trait, which, similarly, influences the verbal content of the human speech in terms of verbosity, repetitions, etc. Therefore, our research tries to map a human´s verbal behavior to a corresponding combined robot´s verbal-nonverbal behavior based on the personality dimensions of the interacting human. The system estimates first the interacting human´s personality traits through a psycholinguistic analysis of the spoken language, then it uses PERSONAGE natural language generator that tries to generate a corresponding verbal language to the estimated personality traits. Gestures are generated by using BEAT toolkit, which performs a linguistic and contextual analysis of the generated language relying on rules derived from extensive research into human conversational behavior. We explored the human-robot personality matching aspect and the differences of the adapted mixed robot´s behavior (gesture and speech) over the adapted speech only robot´s behavior in an interaction. Our model validated that individuals preferred more to interact with a robot that had the same personality with theirs and that an adapted mixed robot´s behavior (gesture and speech) was more engaging and effective than a speech only robot´s behavior. Our experiments were done with Nao robot.
  • Keywords
    human factors; human-robot interaction; humanoid robots; linguistics; mobile robots; natural language processing; psychology; BEAT toolkit; PERSONAGE natural language generator; adapted mixed robot behavior; adapted speech; contextual analysis; human conversational behavior; human speech verbal content; human verbal behavior; human-centered environments; human-robot interaction; human-robot personality matching aspect; nonverbal communication; personality traits; robot verbal-nonverbal behavior; social interaction; spoken language psycholinguistic analysis; Educational robots; Generators; Pragmatics; Robot sensing systems; Speech; Synchronization; BEAT; PERSONAGE; adaptive behavior; personality; verbal and nonverbal communication;
  • 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.2013.6483606
  • Filename
    6483606