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Narrative Transitions in Data Videos

Authors :
Tang, Junxiu
Yu, Lingyun
Tang, Tan
Shu, Xinhuan
Ying, Lu
Zhou, Yuhua
Ren, Peiran
Wu, Yingcai
Tang, Junxiu
Yu, Lingyun
Tang, Tan
Shu, Xinhuan
Ying, Lu
Zhou, Yuhua
Ren, Peiran
Wu, Yingcai
Publication Year :
2021

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.

Details

Database :
OAIster
Notes :
English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1257499459
Document Type :
Electronic Resource