Emotions and Personality in Personalized Services: Models, Evaluation and Applications

Abstract Personalized systems traditionally used the traces of user interactions to learn the user model, which was used by sophisticated algorithms to choose the appropriate content for the user and the situation. Recently, new types of user models started to emerge, which take into account more user-centric information, such as emotions and personality. Initially, these models were conceptually interesting but of little practical value as emotions and personality were difficult to acquire. However, with the recent advancement in unobtrusive ...