User Studies in Generative Interactive IR (GenIIR): An ISIC‐Informed Systematic Review

This poster presents a systematic review of 98 user studies in Generative Interactive Information Retrieval (GenIIR), exploring how users engage with GenAI in interactive information‐seeking contexts. Guided by the Information Seeking in Context (ISIC) framework, we examined two key dimensions: Research Focus and Information Context . Our results show that most studies examined user perceptions and information behavior, while many also addressed system design evaluation. These studies covered diverse domains and user groups. The most common settings were general, health, and education domains. Participants were primarily general users or students, and these studies often involved public tools like ChatGPT. Other studies focused on professional domains and custom GenAI systems, where interaction context, user roles, and task environments were more specialized, highlighting ISIC's emphasis on context‐sensitive information behavior. These patterns reflect the accessibility of public tools and a rising emphasis on context‐sensitive system design. This review provides insights into developing context‐aware, human‐centered GenAI systems.