• DocumentCode
    587769
  • Title

    Responding affectively in online learning situations

  • Author

    Feidakis, Michalis ; Daradoumis, Thanasis ; Caballe, Santi ; Ganan, David

  • Author_Institution
    Dept. of Cultural Technol. & Commun. (D.C.T.C), Univ. of Aegean, Mytilini, Greece
  • fYear
    2012
  • fDate
    29-31 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper describes a system´s implementation that evaluates the learner´s affective state and based on computer intelligence, responds affectively. Prominent theories and models of emotions are reviewed and analysed, especially in respect to learning, together with emotion recognition technologies. Finally, we set open issues for future experimentation, contributing to the research agenda.
  • Keywords
    artificial intelligence; behavioural sciences computing; computer aided instruction; computer animation; emotion recognition; human computer interaction; affective response; animated affective agent; collaborative complex learning objects; computer intelligence; emotion recognition technology; learner affective state; online learning situation; Collaboration; Computers; Educational institutions; Emotion recognition; Mood; Prototypes; Training data; Emotion awareness; affective computing; detection; feedback; measurement; recognition; sentiment analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Education (SIIE), 2012 International Symposium on
  • Conference_Location
    Andorra la Vella
  • Print_ISBN
    978-1-4673-4743-3
  • Type

    conf

  • Filename
    6403210