Thesis Abstract

Abstract
This thesis explores the utilization of artificial intelligence (AI) to enhance the user experience in libraries. In an increasingly digital world, libraries are evolving to meet the changing needs and expectations of their users. AI technologies offer promising opportunities to improve services, personalize interactions, and streamline operations in libraries. This research investigates the potential benefits, challenges, and implications of integrating AI into library services to enhance user experience. The study begins with an examination of the current landscape of library services and user expectations, highlighting the need for innovation and adaptation to technological advancements. The role of AI in libraries is explored, focusing on its applications in areas such as information retrieval, recommendation systems, virtual assistants, and data analysis. By analyzing existing literature and case studies, this research identifies the key trends, opportunities, and challenges associated with AI implementation in libraries. The methodology chapter outlines the research approach, including data collection methods, analysis techniques, and evaluation criteria. A mixed-methods approach is utilized to gather insights from library professionals, users, and AI experts. Surveys, interviews, and usability tests are conducted to assess the impact of AI technologies on user satisfaction, efficiency, and engagement in library settings. The findings chapter presents a detailed analysis of the research results, highlighting the benefits and limitations of AI implementation in libraries. Key findings include improved search accuracy, personalized recommendations, enhanced user engagement, and operational efficiencies. The study also identifies concerns related to privacy, data security, algorithm bias, and user trust in AI-driven library services. The discussion chapter offers a critical analysis of the implications of the research findings, addressing the ethical, social, and policy considerations of AI integration in libraries. Recommendations are provided for library administrators, policymakers, and AI developers to maximize the benefits of AI technologies while mitigating potential risks and challenges. In conclusion, this thesis demonstrates the potential of AI to transform library services and enhance user experience. By leveraging AI technologies effectively, libraries can offer personalized, efficient, and user-centric services that meet the diverse needs of their patrons. The study contributes to the growing body of research on AI in libraries and provides valuable insights for practitioners, researchers, and policymakers in the field of library and information science. Keywords Artificial Intelligence, Library User Experience, Information Retrieval, Recommendation Systems, User Engagement, Data Analysis, Ethical Considerations

Thesis Overview