• DocumentCode
    695019
  • Title

    Approaches to Modeling the Emotional Aspects of a Crowd

  • Author

    Saifi, Lynda ; Boubetra, Abdelhak ; Nouioua, Farid

  • Author_Institution
    Comput. Sci. Dept., Univ. of Bachir El Ibrahimi, El Anasser, Algeria
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    151
  • Lastpage
    154
  • Abstract
    This work aims to study and analyze the emotional aspects in behavioral and decisional situations within a particular population that takes often the shape of a crowd. In that direction, emotional crowd simulation appears to be a good prescriptive tool to study such aspects. This work tries to personify virtual people and make them as believable as possible, to properly represent the human and consequently to understand the behavior of such crowd. For that, we propose an approach based on emotions to modeling crowd behavior and influence taking in consideration principally personality traits. This approach leans on behavioral patterns and emotional simulation. To achieve that, we examine the impact of the personality on emotions and the emergent behavior by specifying emotional cycle of each category of individuals. This last will allow us to study the influence in the crowd in order to ensure a deeper analysis, a well understanding of the progress of any situation and to take the right decision at the right time for avoiding or preventing suspect situations.
  • Keywords
    emotion recognition; modelling; virtual reality; behavioral patterns; crowd behavior; deeper analysis; emergent behavior; emotional aspects; emotional crowd simulation; emotional cycle; modeling; personality traits; prescriptive tool; virtual people; Brain modeling; Computational modeling; Computer architecture; Decision making; Educational institutions; Oceans; Psychology; Behavior; Crowd; Emotion; Influence; Personality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling and Simulation (EUROSIM), 2013 8th EUROSIM Congress on
  • Conference_Location
    Cardiff
  • Type

    conf

  • DOI
    10.1109/EUROSIM.2013.36
  • Filename
    7004934