English

DataTV: Streaming Data Videos for Storytelling

Human-Computer Interaction 2022-10-18 v1

Abstract

Data videos -- motion graphics that incorporate visualizations -- have been recognized as an effective way to communicate ideas, but creating such video requires both time and expertise, precluding them from being created and streamed live. We introduce DataTV, a system for combining multiple media sources in real time. We validate our work through an expert review involving researchers using the DataTV prototype to create a one-minute data video for their current project. Results show that the new method facilitates rapid creation and enables users to focus on the narrative rather than mechanics of video production.

Keywords

Cite

@article{arxiv.2210.08175,
  title  = {DataTV: Streaming Data Videos for Storytelling},
  author = {Zhenpeng Zhao and Niklas Elmqvist},
  journal= {arXiv preprint arXiv:2210.08175},
  year   = {2022}
}

Comments

16 pages

R2 v1 2026-06-28T03:42:01.585Z