Dyadic: A Scalable Platform for Human-Human and Human-AI Conversation Research

2026-03-23

AI Summary

Existing tools for dialogue research often lack modularity and adaptability, limiting their capacity to support diverse conversational contexts and experimental requirements. To address this gap, this work presents Dyadic (chatdyadic.com), a web-based, extensible platform that uniquely integrates multimodal text-and-speech interaction, real-time AI-generated suggestions, live researcher monitoring, and context-sensitive dynamic questionnaires within a unified system. Designed for zero-code configuration, Dyadic seamlessly interoperates with mainstream survey platforms, substantially enhancing experimental flexibility and ecological validity. By offering an out-of-the-box yet highly customizable environment for both human–human and human–agent dialogue studies, Dyadic lowers technical barriers and significantly expands the design space for empirical research in interactive communication.

Technology Category

• Humans and AI: Interaction Techniques and Devices
• Application Domains: Humanities & Computational Social Science
• Natural Language Processing: Conversational AI/Dialog Systems

Application Category

• Economics, Online Markets and Human Computation: Research challenges in human and human-AI computation
• User Modeling, Personalization and Recommendation: User modeling and simulation for interactive and conversational systems
• Search and Retrieval-Augmented AI: Assisted, interactive, and conversational search

Abstract

Conversation is ubiquitous in social life, but the empirical study of this interactive process has been thwarted by tools that are insufficiently modular and unadaptive to researcher needs. To relieve many constraints in conversation research, the current tutorial presents an overview and introduction to a new tool, Dyadic (https://www.chatdyadic.com/), a web-based platform for studying human-human and human-AI conversations using text-based or voice-based chats. Dyadic is distinct from other platforms by offering studies with multiple modalities, AI suggestions (e.g., in human-human studies, AI can suggest responses to a participant), live monitoring (e.g., researchers can evaluate, in real time, chats between communicators), and survey deployment (e.g., Likert-type scales, feeling thermometers, and open-ended text boxes can be sent to humans for in situ evaluations of the interaction), among other consequential features. No coding is required to operate Dyadic directly, and integrations with existing survey platforms are offered.

Problem

• conversation research
• human-human interaction
• human-AI interaction
• research tools
• interactive process

Innovation

• Dyadic
• human-AI conversation
• real-time monitoring
• AI suggestion
• multimodal interaction