Researchers have introduced DialogLab, an open-source prototyping framework presented at ACM UIST 2025 for authoring, simulating and testing dynamic human-AI group conversations.
The system is designed for multi-party dialogue, where interactions can involve team meetings, family dinners or classroom lessons with fluid turn-taking, shifting roles and interruptions. The researchers said this area has long forced designers and developers to choose between the rigidity of scripted interaction and the unpredictability of purely generative models.
DialogLab provides a unified interface for managing multi-party dialogue complexity. It can be used to define agent personas and orchestrate turn-taking dynamics, while combining real-time improvisation with structured scripting.
The framework is intended to support conversations that range from a structured Q&A session to a free-flowing creative brainstorm. According to the source text, evaluations with 14 end users or domain experts showed that DialogLab supports efficient iteration and realistic, adaptable multi-party design for training and research.
Source: research.google.
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