This academic article discusses a novel method for creating storytelling visualizations with dynamic time series data. The need for such a tool was initially motivated by the COVID-19 pandemic, where dynamic data was crucial for personal and societal decision-making. The authors developed a computer-assisted method for the meta-authoring of stories, which can adapt to dynamically changing data. This approach is complementary to traditional methods for authoring storytelling visualizations and is efficient in constructing data-dependent storyboards for different data streams of similar contexts.
Publication date: 7 Feb 2024
Project Page: Not provided
Paper: https://arxiv.org/pdf/2402.03116
