COGNITIVE ASPECTS OF UX DESIGN IN ENSURING THE USABILITY OF WEB RESOURCES

Abstract

Web resource usability today is largely defined by the extent to which cognitive mechanisms of human perception,memory, and decision-making are respected in design solutions. While traditional UX frameworks emphasize visual clarityand interaction efficiency, they rarely formalize cognitive aspects as measurable design checkpoints. This gap necessitates thedevelopment of new approaches that directly integrate cognitive ergonomics into digital environments.The aim of the article is to investigate the cognitive aspects of UX design as a foundation for ensuring the usability of web resources, with the aim of developing an authorial methodology that integrates psychological principles, design heuristics, and adaptive mechanisms.The scientific novelty of this paper introduces an authorial methodology called Cognitive Flow UX (CF-UX), conceivedas a structured system for embedding cognitive ergonomics into digital environments. The CF-UX model is based on fiveinterdependent dimensions – perception clarity, working memory load, decision latency, error anticipation, and motivational feedback – which together form a diagnostic matrix for identifying usability gaps. Unlike generic heuristic evaluations, the CF-UX approach operationalizes these dimensions into design interventions such as chunked navigation pathways, adaptive prompts, predictive error recovery modules, and reward-driven feedback loops.The conclusions show that the study introduced and validated the CF-UX methodology across e-learning, e-government,and e-commerce platforms, demonstrating measurable improvements: task completion time decreased by 22–35%, error frequency fell by up to 40%, and user satisfaction (SUS scores) increased by an average of 18 points. These results prove that webusability cannot be ensured solely through visual or technical optimization but requires alignment with cognitive mechanisms of perception, memory, and decision-making. The main contribution of this research is threefold: operationalizing cognitive science constructs into measurable design levers, offering a replicable evaluative framework for systematic usability optimization, and demonstrating applicability across diverse domains, ensuring cognitive sustainability, inclusivity, and long-term engagement.