Taking into account that people differ from each other not only externally, but also internally, have their individual psychological and physiological features, it is impossible to build a single model of a human being that fits perfectly to any person. And so it is impossible to build a universal intellectual assistant of a person. Building a personalized human assistant requires a close connection between a person and their intellectual assistant, which is built through iterative feedback. Another significant factor that needs to be addressed is the continuous change in human behavior and characteristics throughout life. As such, approaches are needed to describe the dynamics of human and intelligent assistant change. People’s behavior at any given moment is influenced by their internal state and environment. The intellectual assistant should take this into account, adapt, and most importantly develop itself and contribute to the development of the person, both individually and humanity as a whole. This is possible only in the presence of interaction between a person and an intellectual system and reflexion functions in all participants of development. These are the necessary conditions that must be satisfied by the feedback module in the cognitive architecture of the intellectual assistant designed on the basis of the concept of co-evolutionary hybrid intelligence. In this paper, the importance of personalizing feedback to establish a better contact between the human and the AI system is shown based on a case study of a system for human state detection. The paper demonstrates the proposed approach on the example of a system for estimating a person’s emotional state based on analyzing data about his activity of using a computer keyboard and environmental data. The results show an average of 4.12% improvement in the quality of human state prediction in systems with extended feedback.