Personalization Of Information Systems: A Taxonomy And Research Agenda For Generative User Interfaces

Abstract

Abstract

The novel paradigm of Generative user interfaces introduces a shift from predefined, static interfaces toward dynamically generated and contextually adaptive user experiences. While personalization in Information Systems (IS) is well established, it has largely focused on adapting content and functionality, whereas the user interface itself often remains predefined and static. Generative user interfaces address this limitation by leveraging generative artificial intelligence to generate front-end code, constructing and adapting interface components at runtime based on users’ needs, preferences, and context. This promises to not only enhance personalization but also disrupt current IS development. Yet, this emerging implementation raises fundamental questions for IS design and development. Although Generative user interfaces have recently attracted research interest in Human–Computer Interaction, there remains a lack of shared conceptual understanding of their design characteristics and implications for IS development. To address this gap, we develop a taxonomy that identifies these characteristics based on a Socio-Technical Systems perspective. We validate our taxonomy with experts and formulate a research agenda for Generative user interfaces, using the taxonomy as a conceptual foundation to guide future IS research.