Improving the Restore Performance via Physical-Locality Middleware for Backup Systems

Li, Pengfei; Hua, Yu; Cao, Qin; Zhang, Mingxuan

doi:10.1145/3423211.3425691

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Cited by 3 publications

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SnapStore

Panda,

Sarangi

2023

Proceedings of the 24th International Middleware Conference on ZZZ

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SnapStore

Panda,

Sarangi

2023

Proceedings of the 24th International Middleware Conference on ZZZ

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Enhancing User Engagement through Adaptive UI/UX Design: A Study on Personalized Mobile App Interfaces

Liu,

Tan,

Cao

et al. 2024

WJIMT

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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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Transforming User Experience (UX) through Artificial Intelligence (AI) in Interactive Media Design

Liu,

Xu,

Song

2024

WJIMT

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This paper discusses the application and advantages of artificial intelligence technology in digital media interactive product design. Firstly, the development background of artificial intelligence technology and its promoting effect on design innovation is introduced, and the application of new technologies, such as generative adversarial networks in art creation and design personalization, is definitely analyzed. It then explores in detail the ability of AI to break traditional constraints in interactive design, innovate design, and optimize user experience, especially in digital media. Finally, the case study of Microsoft Cortana shows the method of classifying and processing user queries by machine learning system and its experimental results. The research of this paper provides the theoretical basis and empirical support for the application of artificial intelligence technology in the future interactive design of digital media and has important academic and practical significance.

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Improving the Restore Performance via Physical-Locality Middleware for Backup Systems

Cited by 3 publications

References 20 publications

SnapStore

SnapStore

Enhancing User Engagement through Adaptive UI/UX Design: A Study on Personalized Mobile App Interfaces

Transforming User Experience (UX) through Artificial Intelligence (AI) in Interactive Media Design

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