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Enhancing user engagement through adaptive UI/UX Design: A study on personalized mobile app interfaces

Year: 2024

Type: article

Abstract: This paper presents a comprehensive study on developing and evaluating an adaptive UI/UX framework to enhance user engagement in mobile applications through personalized interfaces. The research investigates key factors influencing user engagement, including demographics, cognitive abilities, and contextual variables. A context-aware adaptation engine was designed to adjust interface elements based on real-time user data dynamically. The proposed framework was implemented in a mobile learning application and subjected to rigorous usability testing and user engagement analysis. Results demonstrated significant improvements in task completion rates, user satisfaction, and overall engagement metrics compared to non-adaptive interfaces. This study contributes valuable insights into the design and optimization of adaptive mobile interfaces, emphasizing the importance of personalization in creating compelling user experiences. Keywords: Adaptive UI/UX, User Engagement, Context-Aware Adaptation, Mobile Application Design.

Source: Computer Science & IT Research Journal

DOI: 10.51594/csitrj.v5i8.1457

Authors: Yingchia Liu, Hao Tan, Guanghe Cao, Yang Xu

Institutions: Parsons School of Design, China University of Geosciences, China University of Geosciences (Beijing), University of Southern California, New York University

Language: English

Topic: Usability and User Interface Design

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4401835408

FWCI: 4.232

Cites: 16

Cited by: 14

Related to: 10