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

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.

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Publication Details

Journal
Computer Science & IT Research Journal
Published
2024-08-23
DOI
https://doi.org/10.51594/csitrj.v5i8.1457
Citations
6
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
6.31
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article

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

Yang Xu, Hao Tan, Yingchia Liu, Guanghe Cao
6 citations
Computer Science & IT Research Journal
Technology Adoption and User Behaviour
6.31
article

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

Yang Xu, Hao Tan, Yingchia Liu, Guanghe Cao
article en
6 citations

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.

Computer Science & IT Research JournalVol. 5(8)
University of Southern California (US), China University of Geosciences (Beijing) (CN), Parsons School of Design (US), New York University (US)
Openalex Percentile: Top 4%
Technology Adoption and User Behaviour
6.31
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