PixelClipper: Supporting Public Engagement and Conversation About Visualizations
dc.contributor.author | Walny, Jagoda | |
dc.contributor.author | Storteboom, Sarah | |
dc.contributor.author | Pusch, Richard | |
dc.contributor.author | Hwang, Steven Munsu | |
dc.contributor.author | Knudsen, Søren | |
dc.contributor.author | Carpendale, Sheelagh | |
dc.contributor.author | Willett, Wesley J. | |
dc.date.accessioned | 2020-03-18T17:36:27Z | |
dc.date.available | 2020-03-18T17:36:27Z | |
dc.date.issued | 2020-03 | |
dc.description.abstract | In this article, 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 centered 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. | en_US |
dc.identifier.citation | Walny, J., Storteboom, S., Pusch, R., Hwang, S. M., Knudsen, S., Carpendale, S., & Willett, W. (2020). PixelClipper: Supporting public engagement and conversation about visualizations. IEEE Computer Graphics and Applications, doi:10.1109/MCG.2020.2968906 | en_US |
dc.identifier.doi | 10.1109/MCG.2020.2968906 | en_US |
dc.identifier.issn | 0272-1716 | |
dc.identifier.uri | http://hdl.handle.net/1880/111738 | |
dc.identifier.uri | https://dx.doi.org/10.11575/PRISM/37639 | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.publisher.department | Computer Science | en_US |
dc.publisher.faculty | Science | en_US |
dc.publisher.hasversion | acceptedVersion | en_US |
dc.publisher.institution | University of Calgary | en_US |
dc.publisher.policy | https://ieeeauthorcenter.ieee.org/ | en_US |
dc.rights | Unless otherwise indicated, this material is protected by copyright and has been made available with authorization from the copyright owner. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission. | en_US |
dc.subject | public visualization | en_US |
dc.subject | data engagement | en_US |
dc.subject | conversation tools | en_US |
dc.title | PixelClipper: Supporting Public Engagement and Conversation About Visualizations | en_US |
dc.type | journal article | en_US |
ucalgary.item.requestcopy | false | en_US |
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