Researching new interaction patterns in AI-driven web applications

Abstract

The work is devoted to the study of interaction patterns in AI-driven web applications. It examines how artificial intelligence transforms traditional web interfaces into adaptive, conversational, and predictive systems, influencing usability, trust, and user behavior. Particular attention is given to the shift from static interfaces to dynamic, intent-driven, and multimodal experiences. The study also explores design principles that support clarity, transparency, and human-centered control in AI-mediated environments. Figure 1 illustrates the evolution of interaction patterns from traditional web interfaces to autonomous AI-driven systems.