The Impact of Artificial Intelligence on User Experience Design Processes

Citation: Sergei Molchanov, "The Impact of Artificial Intelligence on User Experience Design Processes", Universal Library of Engineering Technology, Volume 02, Issue 04.

Copyright: This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The article examines the transformation of user experience (UX) design processes under the influence of artificial intelligence, in particular, generative models and automated data analysis tools. The relevance of the study lies in the fact that AI has ceased to be an auxiliary technology and has become a structure-forming element of design practice, radically changing the dynamics of iterations, the nature of user research, and the logic of prototyping. The work aims to identify key changes in UX design and demonstrate lasting connections between people and algorithms as project cycles accelerate. About the study’s novelty lies in its integrated approach to analyzing the phenomenon of a closed loop since boundaries among research, ideation, prototyping, and testing exist blurred. The artifact at once becomes both a result and a new input into the process that it is. Algorithms offer scalability with statistical reliability while specialists set the context, formulate quality metrics, and introduce ethical restrictions given the distribution of roles in the human-machine system. Such symbiosis can allow one for the generation of high-speed solutions. This symbiosis also maintains depth along with cultural relevance. The study mainly found that artificial intelligence accelerates prototyping with personalization of interfaces. Artificial intelligence also forms such a new design thinking model because data continuously circulates and solutions flexibly adapt for the context. At the same time, risks emerge, including the loss of originality due to biases’ scaling, which causes a person to interpret and curate, making their role critically important. Data transparency, system control, and respect for the autonomy of the user can make AI in UX successful. The article will be helpful to UX researchers, designers who practice, digital product developers, as well as specialists in creative industries’ AI implementation.

Keywords: Artificial Intelligence, UX Design, Generative Models, User Experience, Prototyping, Personalization, Digital Design Ethics.

https://doi.org/10.70315/uloap.ulete.2025.0204006