Machine generation of emotions of virtual characters is an interested challenge of machine intelligence. Sequence of character emotions should appear as real from human perspective. It must follow some basic rules and true randomness. It is a component of socially intelligent user to smart system communication.
The challenge is to measure real user emotion sequence and model them using machine learning. We built the system based on a Markov chain modelling where “real” and random components can be combined effectively.