Problem
Research questions and friction points this paper is trying to address.
Conversational AI
Replication
Knowledge Accumulation
Gricea: An Open Science Platform for Conversational AI Research
🤖 AI Summary
为解决对话AI研究中系统和研究配置碎片化问题，本文提出Gricea平台，通过可配置、可部署的研究组件促进开放科学与知识积累。
📝 Abstract
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.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Open Science Platform
Configurable Research Artifacts
Reproducibility
Conversational AI
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