AI-DRIVEN LIBRARY SERVICES: ASSESSING USER ENGAGEMENT, SATISFACTION, AND ACCESSIBILITY IMPACTS

Abstract

Artificial Intelligence (AI) is revolutionizing the way users interact with digital libraries by enabling personalized recommendations, intelligent search, and conversational virtual assistance. This study aims to assess the impact of AI-driven library services on user engagement, satisfaction, and informationseeking behavior, with a particular emphasis on improving accessibility for differently-abled users. A mixed-method approach involving user analytics, surveys, and accessibility testing was employed in an academic digital library environment. Results demonstrate a significant increase in engagement metrics (37%), higher satisfaction scores (4.6/5), and improved accessibility experiences for visually and hearingimpaired users. The findings suggest that AI-driven libraries enhance inclusivity and foster more active and personalized user participation in the information ecosystem.