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PixelClipper: Supporting Public Engagement and Conversation About Visualizations

Project image

Authors

Jagoda Walny, Sarah Storteboom, Richard Pusch, Steven Munsu Hwang, Søren Knudsen, Sheelagh Carpendale, Wesley Willett

Research Lab

Sheelagh Carpendale (InnoVis)

Research Themes

Data Visualization

Abstract

We present PixelClipper, a tool built for facilitating data engagement events. PixelClipper supports conversations around visualizations in public settings through annotation and commenting capabilities. It is recognized that understanding data is important for an informed society. However, even when visualizations are available on the web, open data is not yet reaching all audiences. Public facilitated events centred around data visualizations may help bridge this gap. PixelClipper is designed to promote discussion and engagement with visualizations in public settings. It allows viewers to quickly and expressively extract visual clippings from visualizations and add comments to them. Ambient and facilitator displays attract attention by showing clippings. They function as entry points to the full visualizations while supporting deeper conversations about the visualizations and data. We describe the design goals of PixelClipper, share our experiences from deploying it, and discuss its future potential in supporting data visualization engagement events.

Citation

Jagoda Walny, Sarah Storteboom, Richard Pusch, Steven Munsu Hwang, Søren Knudsen, Sheelagh Carpendale, Wesley Willett. PixelClipper: Supporting Public Engagement and Conversation About Visualizations. IEEE Computer Graphics and Applications. 2020 Jan 23.

[PDF] [BibTex]
@article{walny2020pixelclipper,
  title={PixelClipper: Supporting Public Engagement and Conversation About Visualizations},
  author={Walny, Jagoda and Storteboom, Sarah and Pusch, Richard and Hwang, Steven Munsu and Knudsen, S{\o}ren and Carpendale, Sheelagh and Willett, Wesley},
  journal={IEEE Computer Graphics and Applications},
  volume={40},
  number={2},
  pages={57--70},
  year={2020},
  publisher={IEEE}
}

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