ItemArticle

Developing a Framework and Wireframe for AI-Driven Personalization and Recommendation Systems in Library Management: A Design Thinking Approach

Title
Developing a Framework and Wireframe for AI-Driven Personalization and Recommendation Systems in Library Management: A Design Thinking Approach
Creator
Arumugam, Pitchai; Jayachristrayar, Singarayar; Rega, Rajendran; Rayar, Jesus
Description
This research develops a framework and wireframes for an AI-driven personalization and recommendation system designed to enhance Library Management Systems (LMS). AI adapts library services dynamically to individual user characteristics and behaviors, such as reading preferences and interaction patterns, using predictive algorithms and behavioral analysis to deliver tailored recommendations. The study is primarily grounded in a User-Centered Design Thinking approach to ensure the system is intuitive, responsive, and meets diverse user needs. The proposed framework emphasizes seamless data integration and adaptive interface design. Prototypes created using Figma reflect intuitive, inclusive, and accessible features aligned with user needs. The prototype was evaluated in a controlled environment with high-frequency LMS users using the System Usability Scale (SUS) to assess usability and user satisfaction, achieving a score indicating excellent usability. Although the AI processing engine remains conceptual, this research provides a structured foundation for the future implementation of AI-driven recommendation systems in LMS, supporting enhanced user engagement and improved Selective Dissemination of Information through personalized and inclusive library experiences. 2026 P. Arumugam, Jayachristrayar S, Rega R and Jesus Rayar.
Source
Journal of Web Librarianship;
Date
01-01-2026
Publisher
Routledge
Subject
AI recommendation system; design thinking; library management system; personalized recommendation system; selective dissemination of information; wireframe
Coverage
Arumugam P., Indian Institute of Astrophysics, Karnataka, Bengaluru, India; Jayachristrayar S., CHRIST (Deemed to be University), Bengaluru, India; Rega R., Government Law College, Tamil Nadu, Theni, India; Rayar J., Department of Tamil, Central University of Tamil Nadu, Tamil Nadu, Thiruvarur, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 19322909;
Format
online
Language
English
Type
Article

Citation

Arumugam, Pitchai; Jayachristrayar, Singarayar; Rega, Rajendran; Rayar, Jesus, “Developing a Framework and Wireframe for AI-Driven Personalization and Recommendation Systems in Library Management: A Design Thinking Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/22750.

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