Narrative Transitions in Data Videos

TL;DR

This paper analyzes over 3500 clips from data videos to classify and understand transition types, proposing a taxonomy to improve narrative fluency in data visualization videos.

Contribution

It introduces a new taxonomy of transition types in data videos based on extensive content analysis, aiding better transition design for narrative coherence.

Findings

Identified key transition categories used in data videos.

Provided insights into how transitions connect different visualization contexts.

Enhanced understanding of transition roles in narrative flow.

Abstract

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.