Communicative Model of Messages in User-Dialogue Agent Interaction in Text Generation Systems

The article focuses on the linguistic reception of the message content model in the "human – dialogue agent" communication system. The introduction of artificial intelligence (AI) tools changes the communication paradigm, creating new interactions between humans and AI agents while raising issues of perception and interpretation of generated texts. This study aims to analyze the functional components of the communicative message model during text generation. The author examines user interactions with Yandex and Google dialogue systems using linguistic modeling, formal analysis, and communicative-speech analysis to describe the informational structure of generated messages. This analysis reconsiders traditional linear communication models between humans and machines. The research is grounded in scientific works on human-computer communication theory. Results indicate that the communicative model of AI-generated messages integrates dynamic structures, enabling the creation of texts that imitate natural communication. These findings can improve linguistic mechanisms in AI-based dialogue systems.