MODEL AND EVALUATION CRITERION FOR THE EFFECTIVENESS OF INTELLIGENT NOTIFICATION FILTERING FOR IT SPECIALISTS

Abstract

Digital notifications have become an integral yet disruptive component of IT professionals’ workflows, causing attention fragmentation, reduced cognitive performance, and substantial economic losses – factors that highlight the critical relevance of this problem. To mitigate these negative effects, a conceptual model of an intelligent system has been developed that leverages context analysis and dynamic user profiling for optimized filtering. The system’s operation is modeled as an optimization task, where the objective function maximizes the utility of the specialist’s time by encouraging periods of deep focus while imposing strict controls on delays of critical events. A quantitative effectiveness criterion is also substantiated, enabling the evaluation of system performance by comparing pre- and post-deployment states across key productivity indicators. The purpose of the article is to develop and justify a conceptual model and an evaluation criterion for an intelligent system capable of maximizing user time utility by reducing irrelevant interruptions and ensuring timely responses to critical events. Methodology. The study applies systems analysis methods to examine existing approaches to notification filtering, conceptual modeling techniques to design the architecture of the intelligent system, and mathematical modeling and optimization methods to build the objective function and the effectiveness criterion. Scientific novelty. A conceptual model of an intelligent notification-filtering system is proposed, integrating user context analysis, dynamic profiling, and strict Service Level Agreement (SLA) constraints for critical events. The mathematical modeling component is further advanced through the formulation of a time-utility optimization objective function and the development of a quantitative effectiveness criterion featuring adaptive weighting coefficients. Conclusion. The study presents an approach to addressing the pressing scientific and practical problem of minimizing the negative impact of digital notifications on the productivity of IT professionals. The proposed conceptual model, along with its mathematical grounding and effectiveness assessment, provides a theoretically substantiated foundation for enhancing digital well-being and overall productivity.