Collaborative Ecosystem for Conversational AI Research

Design controlled studies, build AI chat interfaces, collect interaction data, and advance our collective understanding of conversational AI.

For Researchers

Everything you need to run controlled studies

From study design to data collection, Gricea provides a complete toolkit for conversational AI research.

Design Studies

Visual flow builder with within-subject and between-subject designs. Drag-and-drop study orchestration with randomization, branching, and logic.

AI-Powered Tasks

Build LLM chat interfaces with bias manipulation, RAG-based context retrieval, and streaming responses. Full control over conversational dynamics.

Collect & Analyze

Participant management, granular event logging, and interaction analytics. Track every message, click, and behavioral signal.

Publish & Share

Share studies with the community, use others' work as templates, and build on collective research. Open science by default.

Community

Explore what others are building

Browse public studies, try out different AI interfaces, and get inspired for your next experiment. The community hub is where researchers share and collaborate.

Browse Public Studies

Explore research studies shared by the community. See how others design experiments and interact with AI.

Try Different Interfaces

Experience various versions of AI chat interfaces. Compare designs, interaction patterns, and conversational styles.

Use as Templates

Fork any public study as a starting point for your own research. Build on the work of others.

Browse Community

Echo Chamber Effects in AI Chat

biasLLM
24

RAG Interface Comparison Study

RAGUX
18

Conversational AI Literacy Assessment

educationsurvey
31
Coming Soon

Contribute to AI Research

Donate your conversation data to help the research community understand how people interact with AI. Share your experiences along with a short demographics survey to help build a more inclusive understanding of conversational AI.

Your contributions help researchers study real-world AI interactions and build better, more equitable systems.

Upload Conversations

Share your AI chat logs with descriptions of what worked and what didn't.

Short Demographics Survey

A brief, optional survey to help contextualize your contributions.

Help Improve AI

Your data directly contributes to research on making AI more helpful and fair.

Coming Soon

Insights from the community

Published papers, research findings, and AI literacy resources — all powered by data and experiments from the Gricea platform.

Papers

Published Research

Papers and findings from studies conducted on the platform, contributing to our understanding of human-AI interaction.

Insights

Community Hypotheses

See what researchers are testing — from echo chamber effects to conversational design patterns.

Education

AI Literacy Resources

Educational content about conversational AI, built from real data and research findings on the platform.

Built by

isle Lab

Gricea is developed at the isle Lab at Johns Hopkins University, where we study Information Seeking, Consumption and Dissemination in the age of AI.

Nikhil Sharma

Nikhil Sharma

Computer Science

Johns Hopkins University

Homepage
Ziang Xiao

Ziang Xiao

Principal Investigator

Johns Hopkins University

Homepage