This paper aims to explore the transformative potential of ambient intelligence (AmI) in reshaping the library environment into a more empathetic, adaptive and user-centered space. It aims to conceptually distinguish AmI from smart library models and propose a framework for integrating context-aware, intelligent systems into library services.
Adopting a conceptual and analytical approach, this paper synthesizes interdisciplinary literature from library and information science, computer science and design thinking. It introduces a three-layered architectural model (sensing–processing–interaction) and illustrates practical applications through real-world scenarios, supported by scholarly evidence.
This study identifies that AmI libraries, unlike traditional smart libraries, are designed to proactively respond to users’ behaviors, emotions and contexts. By embedding artificial intelligence (AI)-driven, sensor-enabled systems into library infrastructure, these spaces can provide personalized services, improve accessibility and support learning in more intuitive and inclusive ways.
Library professionals, designers and administrators can use the proposed framework and scenarios to initiate or scale AmI-based innovations. It provides a strategic basis for rethinking library space planning, technology adoption and service personalization.
AmI fosters more inclusive, accessible and human-centered library services. It addresses the diverse needs of users, including those with disabilities or emotional stress, while encouraging ethical technology use. This paper emphasizes the importance of privacy, transparency and equitable AI literacy within public knowledge institutions.
This paper offers a novel conceptual framing of AmI specifically for library environments. It extends beyond existing discussions on smart libraries by highlighting AmI’s unique emphasis on user experience, emotional engagement and ethical awareness. By integrating practical design frameworks alongside ethical dimensions, this paper contributes both theoretically and pragmatically to emerging LIS discourse.
