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Gricea: An Open Science Platform for Conversational AI Research

arXiv 2609.22039 ↗First posted 18 Sep 2026cs.HC cs.AIcited by 0

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Abstract (arXiv)

We need studies on conversational AI (CAI) at scale to understand human behavior and shape CAI design. However, fragmented reporting of systems and study configurations hinders replication, extension, and knowledge accumulation. We present Gricea, an open-science platform representing studies as configurable, deployable research artifacts that researchers can run, inspect, share, and reuse. Informed by a formative analysis of prior CAI research, Gricea couples study procedures, participant-facing systems, and conversational task behavior in. In a replication study using Gricea, we replicated configurations 93% of eligible CUI 2026 papers; while also flagging missing information in 96% of papers that hinder faithful replication --- further motivating Gricea's need. In a user study, researchers and practitioners from diverse backgrounds successfully constructed runnable studies addressing various open-ended research questions. Together, these findings demonstrate Gricea's support for constructing, reproducing, and extending CAI studies through shared research artifacts, enabling cumulative knowledge building through open science.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 26 of its 97 references that are in the map. First posted on arXiv 18 Sep 2026.

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26 of 97 references.

References · 26

  1. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,500
  2. 2025Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Modelscited by 58
  3. 2023Rethinking Model Evaluation as Narrowing the Socio-Technical Gapcited by 56
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  11. 2025Mitigating Response Delays in Free-Form Conversations with LLM-powered Intelligent Virtual Agentscited by 12
  12. 2026The Last Human-Written Paper: Agent-Native Research Artifactscited by 12
14 more
  1. 2024CREW: Facilitating Human-AI Teaming Researchcited by 11
  2. 2025NeuroChat: A Neuroadaptive AI Chatbot for Customizing Learning Experiencescited by 11
  3. 2024Canvil: Designerly Adaptation for LLM-Powered User Experiencescited by 9
  4. 2019Tea: A High-level Language and Runtime System for Automating Statistical Analysiscited by 8
  5. 2025Agentic Workflows for Conversational Human-AI Interaction Designcited by 8
  6. 2025The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impairedcited by 7
  7. 2025The Impact of a Chatbot's Ephemerality-Framing on Self-Disclosure Perceptionscited by 6
  8. 2025Toward Metaphor-Fluid Conversation Design for Voice User Interfacescited by 5
  9. 2025Through the Lens of Human-Human Collaboration: A Configurable Research Platform for Exploring Human-Agent Collaborationcited by 4
  10. 2026Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agentscited by 4
  11. 2025ReVISit 2: A Full Experiment Life Cycle User Study Frameworkcited by 3
  12. 2025Conversation Progress Guide : UI System for Enhancing Self-Efficacy in Conversational AIcited by 2
  13. 2025Feedstack: Layering Structured Representations over Unstructured Feedback to Scaffold Human AI Conversationcited by 1
  14. 2026Beliefs and Misconceptions around Integrated Conversational AIcited by 1

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