开源平台ExploraTwin让研究者轻松测试数字孪生模拟效果
ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations
- 提供调查与小组讨论双模式，支持上传问卷或在线创建
- 复现19项实验仅0.4%响应结构异常，99.6%首次运行即有效
- 适合需要快速验证数字孪生应用的研究人员和实践者
数字孪生模拟前景广阔，但实际部署前需充分验证。为降低研究者与从业者测试和部署的门槛，本文介绍开放获取、非营利的ExploraTwin（https://exploratwin.org）平台，支持数字孪生调查模拟。平台提供两种模式：调查模式允许上传Qualtrics问卷或在平台内创建，选择可用数字孪生样本，配置并运行模拟，导出分析就绪数据；面板模式则支持小规模孪生组进行开放式对话、标注与语音讨论。同时开发了标准化数据格式CroissantTwin，用于向平台添加孪生样本。通过Twin-2K-500数据集中的19项实验演示了调查模式流程，结果显示99.6%的197,000个回答单元在首次运行中返回结构有效响应。
原文摘要 · Abstract (English)
Digital twin simulations show promise, but current empirical evidence suggests that the approach should be tested before being deployed in any particular context. To lower the friction for researchers and practitioners to test and deploy digital twin simulations, this brief commentary introduces ExploraTwin (https://exploratwin.org), an open-access, non-profit research platform for digital twin survey simulations. ExploraTwin supports two modes. In survey mode, researchers can upload a Qualtrics survey file or create a survey within the platform; select an available sample of digital twins; configure and run the simulation, and export analysis-ready data. In panel mode, researchers can assemble a small group of twins for open-ended conversations, document annotation, and moderated, focus-group-style voice discussions. We also developed CroissantTwin, a standardized data format for adding samples of digital twins to the platform. We demonstrate the survey mode workflow by using the platform to replicate 19 experiments on digital twins from the Twin-2K-500 dataset. ExploraTwin's survey execution fidelity is high: 99.6% of 197,000 answer units returned a structurally valid response on the first run.
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