Abstract Information visualization (InfoVis), the study of transforming data, information, and
knowledge into interactive visual representations, is very important to users because it …

Visual analytics employs interactive visualizations to integrate users' knowledge and
inference capability into numerical/algorithmic data analysis processes. It is an active …

While advanced text generation algorithms (eg, GPT-3) have enabled writers to co-create
stories with an AI, guiding the narrative remains a challenge. Existing systems often …

Deep convolutional neural networks (CNNs) have achieved breakthrough performance in
many pattern recognition tasks such as image classification. However, the development of …

Data-driven intelligent transportation systems utilize data resources generated within
intelligent systems to improve the performance of transportation systems and provide …

There are many ways to visualize event sequences as timelines. In a storytelling context
where the intent is to convey multiple narrative points, a richer set of timeline designs may …

The rapid development of deep natural language processing (NLP) models for text
classification has led to an urgent need for a unified understanding of these models …

Storyline visualizations, which are useful in many applications, aim to illustrate the dynamic
relationships between entities in a story. However, the growing complexity and scalability of …

Throughout history, storytelling has been an effective way of conveying information and
knowledge. In the field of visualization, storytelling is rapidly gaining momentum and …

In recent years, narrative visualization has gained much attention. Researchers have
proposed different design spaces for various narrative visualization genres and scenarios to …