Character-Oriented Design for Visual Data Storytelling
Keshav Dasu, Yun-Hsin Kuo, Kwan-Liu Ma

TL;DR
This paper introduces a novel character-oriented design framework for visual data storytelling, emphasizing the role of characters in engaging audiences and enhancing narrative clarity through systematic analysis and development of data characters.
Contribution
It systematically analyzes existing data stories to define roles and visual representations of characters, and proposes a new framework for integrating character-oriented design into data storytelling.
Findings
Identified key roles and visual styles of data characters
Defined relationships and conflicts among characters
Highlighted the importance of a central character for narrative engagement
Abstract
When telling a data story, an author has an intention they seek to convey to an audience. This intention can be of many forms such as to persuade, to educate, to inform, or even to entertain. In addition to expressing their intention, the story plot must balance being consumable and enjoyable while preserving scientific integrity. In data stories, numerous methods have been identified for constructing and presenting a plot. However, there is an opportunity to expand how we think and create the visual elements that present the story. Stories are brought to life by characters; often they are what make a story captivating, enjoyable, memorable, and facilitate following the plot until the end. Through the analysis of 160 existing data stories, we systematically investigate and identify distinguishable features of characters in data stories, and we illustrate how they feed into the broader…
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Taxonomy
TopicsDigital Storytelling and Education · Persona Design and Applications · Innovative Human-Technology Interaction
