A Multidimensional Culturally Adapted Representation of Emotions for Affective Computational Simulation and Recognition

One of the main challenges in affective computing is development models to represent information that inherent emotions. It necessary consider terms used by humans name emotions depend on culture and language used. This article presents an experiment-based method adapt emotion different cultural environments. We propose using circular boxplots analyze distribution Pleasure-Arousal space. From results this analysis, we define a new cross-cultural representation model which each term assigned area An represented vector direction indicates type, module intensity emotion. two methods based fuzzy logic express emotions: process associated with recognized defuzzified projected as space; expression fuzzification produced, generating adapted will be