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1 Title of the Article AI-Driven UX/UI Design: Empirical Research and Applications in FinTech
2 Author's name Yang Xu: Interactive Telecommunications Program, New York University, NY, USA
3 Author's name Yingchia Liu, Haosen Xu, Hao Tan
4 Subject Computer Science
5 Keyword(s) AI-driven UX/UI, FinTech, Personalization, Ethical AI
6 Abstract

This study explores the transformative impact of AI-driven UX/UI design in the FinTech sector, examining current practices, user preferences, and emerging trends. Through a mixed-methods approach, including surveys, interviews, and case studies, the research reveals significant adoption of AI technologies in FinTech UX/UI design, with 78% of surveyed companies implementing such solutions. Personalization emerges as a dominant trend, with 76% of FinTech apps utilizing AI for tailored user interfaces. The study demonstrates a strong correlation between AI-enhanced features and improved user engagement, with apps incorporating advanced AI features showing a 41% increase in daily active users. Ethical considerations, including data privacy and algorithmic bias, are addressed as critical challenges in AI implementation. The research contributes a conceptual framework for AI-driven UX/UI design in FinTech, synthesizing findings from diverse data sources. Future trends, including emotional AI and augmented reality integration, are explored. The study concludes that while AI-driven UX/UI design offers significant potential for enhancing user experiences in FinTech, balancing innovation with ethical considerations is crucial for responsible implementation and user trust.

 

7 Publisher Innovative Research Publication
8 Journal Name; vol., no. International Journal of Innovative Research in Computer Science & Technology (IJIRCST); Volume-12 Issue-4
9 Publication Date July 2024
10 Type Peer-reviewed Article
11 Format PDF
12 Uniform Resource Identifier https://ijircst.org/view_abstract.php?title=AI-Driven-UX/UI-Design:-Empirical-Research-and-Applications-in-FinTech&year=2024&vol=12&primary=QVJULTEyOTg=
13 Digital Object Identifier(DOI) 10.55524/ijircst.2024.12.4.16   https://doi.org/10.55524/ijircst.2024.12.4.16
14 Language English
15 Page No 99-109

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