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DialogLab

DialogLab

Authoring, simulating, testing human-AI group conversations

Website research.google
Overview

What it is

DialogLab is a research prototype that provides a unified interface to configure conversational scenes, define agent personas, manage group structures, specify turn-taking rules, and orchestrate transitions between scripted narratives and improvisation. Designers can 1) configure group, party, snippet characteristics, 2) test with simulation and live interaction, and 3) gain insights with timeline view and post-hoc analytics.

Intent

I need it when

Create realistic practice environments for public speaking, interviews, or difficult conversations

DialogLab enables users to simulate realistic multi-party scenarios such as conference Q&A sessions, debates, or interviews with configurable AI agents. The human-control mode and realistic simulation capabilities allow professionals and students to practice in controlled environments with responsive, contextually appropriate AI participants.

Develop believable non-player characters (NPCs) that interact naturally with each other and players in games or interactive narratives

DialogLab supports game designers in creating dynamic NPC interactions through modular conversation design, configurable interaction styles (collaborative, argumentative), and realistic turn-taking rules including interruptions and backchanneling. The framework enables more natural, multi-party dialogue that adapts to player actions.

Analyze and diagnose group conversation dynamics without manually parsing transcripts

DialogLab's verification dashboard visualizes conversation dynamics, turn-taking distributions, and sentiment flows. Users gain quick diagnostic insights into how multi-party interactions unfold, enabling rapid iteration and validation of realistic group behavior without labor-intensive transcript analysis.

Balance scripted control with natural improvisation when simulating group conversations

DialogLab decouples social setup (roles, parties) from temporal flow (snippets, turn-taking), enabling creators to blend structured scripting with spontaneous AI responses. The human-control mode lets designers edit, accept, or dismiss AI suggestions in real-time, providing fine-grained control while maintaining conversational naturalness.

Design and test multi-party AI conversations for education, games, or research without building from scratch

DialogLab provides a unified visual interface to author group dynamics, define agent personas, configure turn-taking rules, and simulate conversations. Users can drag-and-drop avatars, auto-generate conversation prompts, and iterate rapidly through a structured author-test-verify workflow, reducing development time for complex multi-party dialogue scenarios.

Drop

Not a fit when

  • User needs a commercial, production-ready platform with vendor support and SLAs
  • User requires non-English language support for multi-party conversation authoring
  • User needs integration with existing enterprise dialogue systems or CRM platforms
  • User requires photorealistic avatars or advanced 3D environment rendering (currently in development roadmap only)
  • User needs real-time multimodal behaviors like non-verbal gestures and facial expressions (not yet implemented)
Commercials

Pricing

Open-source research prototype; no commercial pricing model