Decision support in providing personalized services using emotional artificial intelligence

An approach to personalized service rendering based on using affective computing technologies is described. The proposed consists of considering clients’ emotional states and their individual characteristics in the process providing services. Rendering services supplemented by formalization stages client’s state support. paper considers online learning as subject area research. A general description given. It concluded that there no correction learners’ during lesson. dependence knowledge level revealed. review existing approaches Learners’ specific behaviour lesson analysed. features academic emotions are also considered. objective set increase effectiveness taking into account support process. formalise facial muscle movements a universal way recognizing emotions. described detail. task select classification according nearest neighbour method.