Dyadic: A Scalable Platform for Human-Human and Human-AI Conversation Research
2026-03-23 • Human-Computer Interaction
Human-Computer InteractionArtificial IntelligenceComputation and Language
AI summaryⓘ
The authors introduce Dyadic, a new web tool designed to help researchers study conversations between people or between humans and AI. This platform allows for text and voice chats, includes AI-generated response suggestions, and lets researchers watch conversations live. It also makes it easy to send surveys during conversations to get feedback. Dyadic doesn’t require any coding and can connect with popular survey tools, making it flexible and user-friendly for conversation research.
conversation analysishuman-computer interactionAI suggestionslive monitoringsurvey deploymenttext-based chatvoice-based chatweb platformsLikert scalereal-time evaluation
Authors
David M. Markowitz
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.