Automatic Generation of Unit Visualization-based Scrollytelling for Impromptu Data Facts Delivery

Junhua Lu, Wei Chen, Hui Ye, Jie Wang, Honghui Mei, Yuhui Gu, Yingcai Wu, Xiaolong Luke Zhang, Kwan Liu Ma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Data-driven scrollytelling has become a prevalent way of visual communication because of its comprehensive delivery of perspectives derived from the data. However, creating an expressive scrollytelling story requires both data and design literacy and is time-consuming. As a result, scrollytelling has been mainly used only by professional journalists to disseminate opinions. In this paper, we present an automatic method to generate expressive scrollytelling visualization, which can present easy-to-understand data facts through a carefully arranged sequence of views. The method first enumerates data facts of a given dataset, and scores and organizes them. The facts are further assembled, sequenced into a story, with reader input taken into consideration. Finally, visual graphs, transitions, and text descriptions are generated to synthesize the scrollytelling visualization. In this way, non-professionals can easily explore and share interesting perspectives from selected data attributes and fact types. We demonstrate the effectiveness and usability of our method through both use cases and an in-lab user study.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE 14th Pacific Visualization Symposium, PacificVis 2021
PublisherIEEE Computer Society
Pages21-30
Number of pages10
ISBN (Electronic)9781665439312
DOIs
StatePublished - Apr 2021
Event14th IEEE Pacific Visualization Symposium, PacificVis 2021 - Virtual, Tianjin, China
Duration: Apr 19 2021Apr 22 2021

Publication series

NameIEEE Pacific Visualization Symposium
Volume2021-April
ISSN (Print)2165-8765
ISSN (Electronic)2165-8773

Conference

Conference14th IEEE Pacific Visualization Symposium, PacificVis 2021
Country/TerritoryChina
CityVirtual, Tianjin
Period4/19/214/22/21

Keywords

  • Human-centered computing
  • Visualization
  • Visualization techniques

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Software

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