Visual Data Storytelling: A Case Study of Turning Big Data into Chinese Painting

Yanru Lyu*, Tuck Fai Cheng, Rungtai Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Visual data storytelling is a relatively new terminology that has emerged over the last decade. The use of information technology in data visualizing is becoming more common and accessible to users. The artist apply a variety of multimedia, symbols and metaphors to independently create a visual form that expresses data and communicates with real life. The visual data are the media that provide powerful and essential means of communication. If “visual data storytelling” is viewed as a process of communication, it follows naturally that how the artist’s performances are conceived, developed, delivered and received, and how the audience is attracted, accurately understanding the data and affected by the data visualization are worth exploring. Therefore, this study is intended to propose a framework focusing on how the conception of the artist affects the creation process and how the creation process is understood by the audience. The artist’s creation activities were analyzed through the framework of four steps using a case study of turning “big data” into “Chinese painting.” The results showed that the approach could be applied to understanding data visualization and provides artists with an idea of how to concentrate their efforts at the creation stage, the easier to communicate with their audience. In addition, the research framework seems to provide a better way to explore the understanding of how data transforms into art forms, which is clearly worthy of further study.

Original languageEnglish
Title of host publicationCross-Cultural Design. Applications in Health, Learning, Communication, and Creativity - 12th International Conference, CCD 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
EditorsPei-Luen Patrick Rau
PublisherSpringer
Pages526-535
Number of pages10
ISBN (Print)9783030499129
DOIs
StatePublished - 2020
Externally publishedYes
Event12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 07 202024 07 2020

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12193 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Cross-Cultural Design, CCD 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period19/07/2024/07/20

Bibliographical note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Keywords

  • Big data
  • DIKW model
  • Data visualization
  • Storytelling

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