User Experience (UX) Optimization with AI: Integration of Artificial Intelligence to Personalize the User Experience in Applications and Websites, Anticipating Their Needs and Preferences

Nelson Salgado-Reyes*

*Autor correspondiente de este trabajo

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

Resumen

This study focuses on User Experience (UX) Optimization through Artificial Intelligence (AI) Integration, specifically on the personalization of applications and websites to anticipate user needs and preferences. The main objective is to comprehensively review the scientific literature and previous research related to this approach, adopting a qualitative methodology based on the detailed analysis of articles, theses and research papers. The literature review is conducted with a specific focus on identifying patterns and trends that demonstrate the effectiveness of artificial intelligence in improving user experience. The results obtained consistently reveal that the integration of artificial intelligence leads to a substantial improvement in the adaptability of interfaces, generating a more relevant and efficient user experience. The anticipation of needs and preferences through artificial intelligence algorithms emerges as a crucial component in the optimization of user experience in contemporary digital design.

Idioma originalInglés
Título de la publicación alojadaInformation Technology and Systems, ICITS 2025
EditoresAlvaro Rocha, Carlos Ferrás, Hiram Calvo
EditorialSpringer Science and Business Media Deutschland GmbH
Páginas223-231
Número de páginas9
ISBN (versión impresa)9783031931055
DOI
EstadoPublicada - 2025
EventoInternational Conference on Information Technology and Systems, ICITS 2025 - Mexico City, México
Duración: 22 ene. 202525 ene. 2025

Serie de la publicación

NombreLecture Notes in Networks and Systems
Volumen1448 LNNS
ISSN (versión impresa)2367-3370
ISSN (versión digital)2367-3389

Conferencia

ConferenciaInternational Conference on Information Technology and Systems, ICITS 2025
País/TerritorioMéxico
CiudadMexico City
Período22/01/2525/01/25

Nota bibliográfica

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

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