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. The article emphasizes the importance of data analysis in improving the convenience and efficiency of security systems, and suggests approaches to integrating these methods into the design process.