Abstract
<jats:p>The article is devoted to the problem of analyzing and modelling information noise in modern human-computer interaction interfaces when using virtual reality technologies to create an immersive environment of deep immersion. The problem of information overload is considered through the lens of semiotics. The key requirements for a sign used for information interaction with a user must include salience and unambiguity. From these positions, a formal-logical model of immersive noise is introduced, and mechanisms for countering it are proposed through user interface adaptation. The typology of signs in determining appropriate filters ensures their targeting of the most important aspects of information perception. For example, the distinction between iconic signs, indexical signs (pointers), and symbolic signs allows for the definition of different spectra of semiosis in human-computer interfaces and the implementation of filtering reducing the user’s information load. Filtering by individual sign spectra allows for the selection of a transmission frequency that reduces information noise and increases the contrast of informative signs, thereby increasing the efficiency of the corresponding communication system. The proposed definitions are intended for implementing a system for managing user immersion in an immersive reality formed by interactive human-computer interfaces to reduce information noise and maximize user engagement in the human-computer communication process. The practical application of these technologies has shown good results in automating psychological diagnostics and medical rehabilitation. In particular, the model and algorithms for reducing information noise, built on its basis, for virtual reality therapy and diagnostics, allow for the implementation of a personalized approach to medical rehabilitation of mental behavioural stress disorders.</jats:p>