International Journal of Research and Scientific Innovation (IJRSI)
UX Approaches to the Integration of Artificial Intelligence into User Scenarios of Digital Financial Platforms
Published February 24, 2026 • Vol. 13, Issue 2, pp. 314–320Open Access
DOI: 10.51244/IJRSI.2026.13020024
Abstract
The article examines the integration of artificial intelligence tools into user scenarios of digital financial platforms from the perspective of user experience approaches. It investigates how the choice of forms of visualizing predictive data, the degree of autonomy of intelligent agents and the mechanisms for explaining results affect the perception of services, the level of trust and users’ willingness to delegate routine operations to algorithms. It analyzes the balance between automation and the preservation of user control, as well as the role of adaptive personalization based on machine learning in shaping sustainable models of interaction with financial products.
Keywords: digital financial platforms, user interface, artificial intelligence, machine learning
| Journal | International Journal of Research and Scientific Innovation (IJRSI) |
|---|---|
| ISSN | 2321-2705 |
| Volume / Issue | Volume 13, Issue 2 |
| Pages | 314–320 |
| Publication date | February 24, 2026 |
| DOI | 10.51244/IJRSI.2026.13020024 |
| Publisher | RSIS International |
| License | Open Access |
How to cite this article
Ulyanov Vladimir (2026). UX Approaches to the Integration of Artificial Intelligence into User Scenarios of Digital Financial Platforms. International Journal of Research and Scientific Innovation (IJRSI), 13(2), 314-320. https://doi.org/10.51244/IJRSI.2026.13020024
BibTeX
@article{Ulyanov2026,
title = {UX Approaches to the Integration of Artificial Intelligence into User Scenarios of Digital Financial Platforms},
author = {Ulyanov Vladimir},
journal = {International Journal of Research and Scientific Innovation (IJRSI)},
volume = {13},
number = {2},
pages = {314--320},
year = {2026},
doi = {10.51244/IJRSI.2026.13020024},
publisher = {RSIS International}
}