user experience

Front-end Framework for Building Applications With Adaptive User Interfaces Using Machine Learning Methods

The article examines approaches to developing a front-end framework for creating web applications with an adaptive graphical interface that dynamically adjusts to the individual needs of users through machine learning algorithms. The relevance of the problem lies in the need to develop interfaces capable of simultaneously meeting the needs of different demographic groups, which requires flexibility in customizing the user experience (UX) and user interface (UI) of modern websites.

Creation of Interfaces of Security Systems of Multi-apartment Buildings Using the Person Method

The article explores the process of creating interfaces for security systems in apartment buildings using the persona method and user classification through the random forest method. The persona method allows for segmenting users based on demographic, psychographic, and behavioral characteristics, providing deeper insight into the needs of different groups and enabling the creation of personalized interfaces for effective interaction with the system. The random forest method is used to select key criteria that influence user classification and optimize the system according to their needs.