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Toward Collective Storytelling: Investigating Audience Annotations in Data Visualizations
IEEE Computer Graphics and Applications
|March 4, 2025
Summary
Personal annotations in data visualizations transform collective storytelling. Reader comments on COVID-19 data visualizations foster empathy and personal reflection, becoming key focal points.
Area of Science:
- Data Visualization
- Human-Computer Interaction
- Social Computing
Background:
- Critical cartography explores personal perspectives in mapping.
- Data visualizations can be enhanced by user-generated content.
- Collective storytelling leverages shared experiences for data interpretation.
Purpose of the Study:
- Investigate personal annotations in data visualizations for collective storytelling.
- Understand how reader comments influence visualization interpretation.
- Examine the role of social traces in data engagement.
Main Methods:
- Analysis of interaction logs and reader surveys.
- Qualitative analysis of visualization annotations and interviews.
- Studied user engagement with COVID-19 data visualizations.
Main Results:
- Reader annotations facilitate empathy and reflection on personal experiences.
- Annotations act as social traces, guiding users through visualizations.
- Embedded annotations often become the primary focus, overshadowing data encodings.
Conclusions:
- Personal perspectives in visualization annotations enable powerful collective data storytelling.
- Social traces within visualizations enhance reader connection and contextualization.
- Annotations significantly shape the understanding and focus of data visualizations.
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