JETBM OPEN ACCESS
Journal of Economic Theory and Business Management
ISSN:3006-4953 (print) | ISSN:3006-4961 (online) | Publication Frequency: Bimonthly
Enhancing User Engagement through Adaptive Interfaces: A Study on Real-time Personalization in Web Applications
* Corresponding Author1: Zuen Cen, E-Mail: zc366@nau.edu
Publication
Accepted Unknow ; Published 2024 December 16
Journal of Economic Theory and Business Management, 2024, 1(6), 3006-4953.
Abstract
This study explores the potential of real-time personalization to enhance user engagement in web applications through adaptive interfaces. Although traditional static interfaces are reliable, they often fail to meet the dynamic and diverse needs of users, leading to a decline in user interaction over time. This article proposes a comprehensive model that utilizes machine learning algorithms to adjust network content based on user behavior, preferences, and contextual factors, providing a more personalized experience. Empirical data from experiments shows that adaptive interfaces significantly improve key engagement metrics such as time spent on the platform, click through rates, and user satisfaction. The research findings emphasize the importance of adaptive design principles in enhancing user experience, cultivating user retention, and maintaining competitiveness in the digital environment.
Keywords
User Engagement , Real-time Personalization , Adaptive Interfaces , Machine Learning , User Behavior Analysis , HCI , Web Applications .
Metadata
Pages: 1-7
References: 50
Disciplines: Human-Computer Interaction
Subjects: Real-time Personalization
Cite This Article
APA Style
Cen, Z. & Zhao, Y. (2024). Enhancing user engagement through adaptive interfaces: a study on real-time personalization in web applications. Journal of Economic Theory and Business Management, 1(6), 1-7. https://doi.org/10.70393/6a6574626d.323332
Acknowledgments
The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.
FUNDING
Not applicable.
INSTITUTIONAL REVIEW BOARD STATEMENT
Not applicable.
DATA AVAILABILITY STATEMENT
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
INFORMED CONSENT STATEMENT
Not applicable.
CONFLICT OF INTEREST
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
AUTHOR CONTRIBUTIONS
Not applicable.
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PUBLISHER'S NOTE
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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