Narrative Transitions in Data Videos
This work addresses the design of narrative transitions in data videos, which is incremental as it builds on existing practices without introducing a new paradigm.
The authors analyzed over 3500 clips from 284 data videos to study how transitions connect visualizations and motion graphics, proposing a taxonomy of two transition categories for building fluent narratives.
Transitions are widely used in data videos to seamlessly connect data-driven charts or connect visualizations and non-data-driven motion graphics. To inform the transition designs in data videos, we conduct a content analysis based on more than 3500 clips extracted from 284 data videos. We annotate visualization types and transition designs on these segments, and examine how these transitions help make connections between contexts. We propose a taxonomy of transitions in data videos, where two transition categories are defined in building fluent narratives by using visual variables.