Examining the effects of Conversational Artificial Intelligence (CAI) on the Information-seeking Behaviours of University Students at the University of Ibadan, Nigeria.

Abstract

This study explores how university students' information-seeking behaviours are transformed by Conversational AI. As digital resources multiply and artificial intelligence (AI) technology advance, libraries are looking for new and creative ways to improve user experiences and information accessibility. This study uses a mixed-methods approach to look at how CAI platforms, including chatbots and virtual assistants, affect undergraduate students' information-seeking behaviours. It combines qualitative and quantitative surveys and use descriptive statistics and theme for data analysis. The results provide insight into how CAI might improve user interaction with information resources, convenience access, streamline information retrieval procedures, and provide personalised help. The study also looks at possible challenges, accuracy of information, privacy concerns, over dependence, and implications for library services. Through shedding light on the intricate relationships between conversational AI technology and user behaviour, this study advances our knowledge of how information search and retrieval are changing academic libraries and helps to shape integration strategies for CAI within the scholarly information ecosystem.