• DocumentCode
    1802046
  • Title

    Toward a Real-Time Automated Measure of Empathy and Dominance

  • Author

    Varni, Giovanna ; Camurri, Antonio ; Coletta, Paolo ; Volpe, Gualtiero

  • Author_Institution
    InfoMus Lab.-Dept. of Commun., Syst. & Comput. Sci., Univ. of Genoa, Genoa, Italy
  • Volume
    4
  • fYear
    2009
  • fDate
    29-31 Aug. 2009
  • Firstpage
    843
  • Lastpage
    848
  • Abstract
    This paper presents a number of algorithms and related software modules for the automated analysis in real-time of nonverbal cues related to expressive gesture in social interaction. Analysis is based on phase synchronisation (PS) and recurrence quantification analysis. We start from the hypothesis that PS is one of the low level social signals explaining empathy and dominance in a small group of users. Real-time implementation of the algorithms is available in the EyesWeb XMI social signal processing library. Applications of the approach is in user centric media and in particular in active music listening (EUICT FP7 Project SAME).
  • Keywords
    behavioural sciences computing; gesture recognition; real-time systems; EUICT FP7 Project SAME; EyesWeb XMI social signal processing library; active music listening; algorithms real-time implementation; dominance; empathy; expressive gesture; low level social signal; nonverbal cue; phase synchronisation; real-time automated measure; recurrence quantification analysis; social interaction; software module; user centric media; Algorithm design and analysis; Application software; Art; Biomedical monitoring; Data mining; Human computer interaction; Libraries; Real time systems; Signal processing algorithms; Software algorithms; Social signals; music; synchronisation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.230
  • Filename
    5283210