Thesis Abstract

Abstract
The advent of artificial intelligence (AI) has revolutionized various industries, and its potential impact on library services and user experience is increasingly being explored. This thesis delves into the implications of integrating AI technologies in libraries to enhance services and user interactions. The primary objective is to investigate how AI can transform traditional library practices, improve user experiences, and address the challenges faced by libraries in the digital age. The study begins with a comprehensive introduction that outlines the background of the research, identifies the problem statement, sets out the objectives, discusses the limitations and scope of the study, emphasizes the significance of the research, and provides an overview of the thesis structure. The literature review in Chapter Two critically examines existing studies on AI applications in libraries, highlighting key trends, challenges, and opportunities. The review covers topics such as AI-driven cataloging, personalized recommendation systems, virtual assistants, and data analytics for improving library services and user experiences. Chapter Three details the research methodology, including the research design, data collection methods, sampling techniques, and data analysis procedures. The chapter also discusses ethical considerations and limitations of the research methodology employed. Chapter Four presents a detailed discussion of the research findings, analyzing how AI technologies can be effectively integrated into library services to enhance user experiences. The chapter explores case studies of libraries that have successfully implemented AI solutions, highlighting best practices and lessons learned. In conclusion, Chapter Five summarizes the key findings of the study, discusses the implications for the future of library services, and offers recommendations for librarians, policymakers, and researchers looking to leverage AI technologies in library settings. This thesis contributes to the growing body of knowledge on the role of AI in libraries and provides valuable insights into the potential benefits and challenges of adopting AI-driven solutions to enhance library services and user experiences.

Thesis Overview