Digital Twin (DT) systems are increasingly applied in environmental contexts to support real-time monitoring, forecasting, and decision-making. While technically advanced, many DT implementations fall short in communicating insights in ways that are accessible, interpretable, and actionable for diverse audiences. This paper introduces a user-centered workflow to integrate data storytelling into environmental DTs, enhancing their communicative impact. The workflow is illustrated through environmental prediction use case, demonstrating its applicability and its potential to effectively communicate digital twin results to a specific audience.

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Data Storytelling to Unlock the Communicative Power of Digital Twins

  • Faten El Outa,
  • Hugo Breuillard,
  • Guillaume Dechambenoit

摘要

Digital Twin (DT) systems are increasingly applied in environmental contexts to support real-time monitoring, forecasting, and decision-making. While technically advanced, many DT implementations fall short in communicating insights in ways that are accessible, interpretable, and actionable for diverse audiences. This paper introduces a user-centered workflow to integrate data storytelling into environmental DTs, enhancing their communicative impact. The workflow is illustrated through environmental prediction use case, demonstrating its applicability and its potential to effectively communicate digital twin results to a specific audience.