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

TL;DR

Dyadic is a versatile, web-based platform designed to facilitate scalable, multimodal research on human-human and human-AI conversations, enabling real-time monitoring, AI suggestions, and integrated surveys without coding.

Contribution

It introduces Dyadic, a novel, modular platform that supports multimodal conversation studies with real-time features and easy integration, advancing research capabilities.

Findings

Supports multiple modalities including text and voice

Enables real-time chat monitoring and AI suggestions

Integrates survey tools for in situ interaction evaluation

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.