Intelligent software application for adaptive control of screen modes based on user activity analysis

Abstract

This paper discusses the problem of the long-term effects of screen use on vision and overall user wellbeing. The concept of an intelligent software application is proposed, which analyzes user activity and automatically adjusts screen parameters according to the working conditions. Methods such as computer vision, machine learning, and behavior monitoring are employed. This approach allows for dynamic changes in brightness, contrast, and color temperature, reducing visual strain and improving user comfort. The architecture of the application is outlined, along with the prospects for its further development, including integration with operating systems and enhancement of adaptation algorithms.