Towards Collective Storytelling: Investigating Audience Annotations in Data Visualizations
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866909551221014528 |
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| author | Kauer, Tobias Dörk, Marian Bach, Benjamin |
| author_facet | Kauer, Tobias Dörk, Marian Bach, Benjamin |
| contents | This work investigates personal perspectives in visualization annotations as devices for collective data-driven storytelling. Inspired by existing efforts in critical cartography, we show how people share personal memories in a visualization of COVID-19 data and how comments by other visualization readers influence the reading and understanding of visualizations. Analyzing interaction logs, reader surveys, visualization annotations, and interviews, we find that reader annotations help other viewers relate to other people's stories and reflect on their own experiences. Further, we found that annotations embedded directly into the visualization can serve as social traces guiding through a visualization and help readers contextualize their own stories. With that, they supersede the attention paid to data encodings and become the main focal point of the visualization. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19138 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards Collective Storytelling: Investigating Audience Annotations in Data Visualizations Kauer, Tobias Dörk, Marian Bach, Benjamin Human-Computer Interaction This work investigates personal perspectives in visualization annotations as devices for collective data-driven storytelling. Inspired by existing efforts in critical cartography, we show how people share personal memories in a visualization of COVID-19 data and how comments by other visualization readers influence the reading and understanding of visualizations. Analyzing interaction logs, reader surveys, visualization annotations, and interviews, we find that reader annotations help other viewers relate to other people's stories and reflect on their own experiences. Further, we found that annotations embedded directly into the visualization can serve as social traces guiding through a visualization and help readers contextualize their own stories. With that, they supersede the attention paid to data encodings and become the main focal point of the visualization. |
| title | Towards Collective Storytelling: Investigating Audience Annotations in Data Visualizations |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2503.19138 |