AI RESEARCH
Conversations in Space: Structuring Non-Linear LLM Interactions on a Canvas
arXiv CS.CL
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ArXi:2605.15848v1 Announce Type: cross Conversational interfaces powered by large language models (LLMs) are widely used for ideation and analysis, yet their linear structure limits exploration of alternatives and management of long-running interactions. We present CanvasConvo, a conversational interface concept that transforms linear chat into a branching conversation tree embedded in a spatial canvas. CanvasConvo enables users to explore what-if scenarios by branching directly from conversational content, ing parallel development of alternative directions.