A new framework called socioduality is proposed to study human-AI interaction. It focuses on the process of how humans and AI systems respond to each other over time, rather than just evaluating individual capabilities or final outputs. The framework identifies different stages in this process, including moves, episodes, and pathways, and shows that these can be distinct from traditional task-stage changes. This approach preserves information about how human and AI contributions are linked across time. --- Why it matters: This matters to researchers because it provides a new way to study the complex interactions between humans and AI systems, which is essential for developing more effective and efficient collaboration tools. Source: https://arxiv.org/abs/2608.11322