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.

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Publication Details

Journal
Journal of improved oil and gas recovery technology.
Published
2024-09-02
DOI
https://doi.org/10.53469/wjimt.2024.07(05).01
Citations
11
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
11.56
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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
11 citations
Journal of improved oil and gas recovery technology.
Technology Adoption and User Behaviour
11.56
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
11 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.

Journal of improved oil and gas recovery technology.Vol. 7(5)
University of Southern California (US), China University of Geosciences (Beijing) (CN), Parsons School of Design (US), New York University (US)
Openalex Percentile: Top 2%
Technology Adoption and User Behaviour
11.56
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Enhancing User Engagement through Adaptive UI/UX Design: A Study on Personalized Mobile App Interfaces — Yang Xu, Hao Tan, et al. · Journal of improved oil and gas recovery technology. (2024) | TGRS Research Map | TGRS