• DocumentCode
    604220
  • Title

    Facial expressions based in emotions for virtual agents

  • Author

    Cruz, D.V. ; Rodriguez, Eduardo ; Corchado, M.A.R. ; Marcial-Romero, J.R. ; Corchado, F.R.

  • Author_Institution
    Dept. of Comput. Sci., UAEMEX, Mexico City, Mexico
  • fYear
    2013
  • fDate
    11-13 March 2013
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    Facial expressions and emotions are two major processes underlying human behavior. They allow humans to manage their internal resources on relevant elements in the environment as well as to evaluate the emotional significance of such elements. Moreover, multidisciplinary evidence shows that these two processes interact extensively in the human brain. In fields such as human-computer interaction and artificial intelligence, computational models of either expressions or emotions have been developed to be included in cognitive agent architectures. However, modeling the interaction between expressions and emotions has been barely studied. In this paper, we propose a computational model for the interaction of facial expressions and emotional behavior. This model is designed to provide intelligent agents with adequate mechanisms to attend and react to emotions in the environment. The simulations performed demonstrate that the proposed model helps to provide virtual agents with more realistic behavior.
  • Keywords
    software agents; cognitive agent architectures; emotion computational model; emotional behavior; expression computational models; facial expression interaction; human behavior; intelligent agents; virtual agents; Brain models; Computational modeling; Computer architecture; Mood; Muscles; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Communications and Computing (CONIELECOMP), 2013 International Conference on
  • Conference_Location
    Cholula
  • Print_ISBN
    978-1-4673-6156-9
  • Type

    conf

  • DOI
    10.1109/CONIELECOMP.2013.6525748
  • Filename
    6525748