Mixed-Initiative Context: Structuring and Managing Context for Human-AI Collaboration

Researchers propose Mixed-Initiative Context, a framework that reconceptualizes how multi-turn AI interactions are managed by treating context as an explicit, structured, and dynamically adjustable object rather than a fixed chronological sequence. The approach enables both humans and AI to actively participate in context construction, addressing current limitations where irrelevant exchanges clutter context windows and users lack direct control mechanisms.