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
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;
Conference_Titel :
Computers in Education (SIIE), 2012 International Symposium on
Conference_Location :
Andorra la Vella
Print_ISBN :
978-1-4673-4743-3
