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Character-Oriented Design for Visual Data Storytelling
IEEE Transactions on Visualization and Computer Graphics
|October 23, 2023
Summary
Data stories can be enhanced using characters, which improve audience engagement and narrative clarity. This study introduces character-oriented design to make data storytelling more captivating and memorable.
Area of Science:
- Data Visualization
- Human-Computer Interaction
- Information Design
Background:
- Data storytelling aims to convey information effectively while maintaining scientific integrity.
- Existing methods for data story plots offer opportunities for innovation in visual elements.
- Characters are crucial for making stories engaging, memorable, and easier to follow.
Purpose of the Study:
- To systematically investigate and identify features of characters in data stories.
- To illustrate how these features contribute to "character-oriented design".
- To present a framework and extension for data storytelling using character-oriented design.
Main Methods:
- Analysis of 160 existing data stories.
- Identification of roles, visual representations, and relationships of data characters.
- Investigation of antagonist characteristics and conflict in data stories.
Main Results:
- Identified the need for a central character to guide the audience through the narrative.
- Defined roles, visual representations, and relationships of data characters.
- Illustrated character-oriented design with common data story plots.
Conclusions:
- Character-oriented design offers a novel framework for developing data characters.
- This approach enhances the data storytelling process by improving narrative engagement.
- The study provides a systematic method for creating more compelling data narratives.
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