ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations

작성자

카테고리:

← 피드로
arXiv cs.AI · Naveen Venkat, Yuchen Qiu, Tianyi Peng, George Gui, Olivier Toubia · 2026-08-26 AI

[Submitted on 20 Aug 2026 (v1), last revised 24 Aug 2026 (this version, v2)]

View PDF HTML (experimental)

Abstract: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 (this https URL), 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.

Submission history

From: Yuchen Qiu [view email]
[v1] Thu, 20 Aug 2026 19:59:12 UTC (2,223 KB)
[v2] Mon, 24 Aug 2026 18:50:35 UTC (2,223 KB)

원문에서 계속 ↗

추출 본문 · 출처: arxiv.org · https://arxiv.org/abs/2608.20539