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Kori: Interactive Synthesis of Text and Charts in Data Documents
IEEE Transactions on Visualization and Computer Graphics
|September 29, 2021
Summary
This study introduces an interface for seamlessly linking text and charts in data documents. It uses natural language processing to help users create interactive references, improving data communication.
Area of Science:
- Data Visualization
- Human-Computer Interaction
- Information Design
Background:
- Charts and text are crucial for communicating complex data in various publications.
- Synthesizing information across charts and text is challenging due to attention shifting.
Purpose of the Study:
- To investigate methods for tightly coupling text and charts in data documents.
- To develop an interface supporting the creation of interactive chart-text references.
Main Methods:
- Analyzed the design space of chart-text references in news articles and scientific papers.
- Developed a mixed-initiative interface using natural language processing (NLP) for automated suggestions.
- Enabled manual construction of references for user flexibility.
Main Results:
- The developed interface facilitates the creation of interactive references between text and charts.
- NLP assists in automatically suggesting relevant references.
- Users can effortlessly construct references manually.
Conclusions:
- The mixed-initiative interface effectively supports the composition of interactive data documents.
- Improved integration of text and charts enhances data comprehension and accessibility.
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