Pixelclipper: Supporting public engagement and conversation about visualizations

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Standard

Pixelclipper : Supporting public engagement and conversation about visualizations. / Walny, Jagoda; Storteboom, Sarah; Pusch, Richard; Hwang, Steven Munsu; Knudsen, Soren; Carpendale, Sheelagh; Willett, Wesley.

I: IEEE Computer Graphics and Applications, Bind 40, Nr. 2, 01.03.2020, s. 57-70.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Walny, J, Storteboom, S, Pusch, R, Hwang, SM, Knudsen, S, Carpendale, S & Willett, W 2020, 'Pixelclipper: Supporting public engagement and conversation about visualizations', IEEE Computer Graphics and Applications, bind 40, nr. 2, s. 57-70. https://doi.org/10.1109/MCG.2020.2968906

APA

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, 40(2), 57-70. https://doi.org/10.1109/MCG.2020.2968906

Vancouver

Walny J, Storteboom S, Pusch R, Hwang SM, Knudsen S, Carpendale S o.a. Pixelclipper: Supporting public engagement and conversation about visualizations. IEEE Computer Graphics and Applications. 2020 mar. 1;40(2):57-70. https://doi.org/10.1109/MCG.2020.2968906

Author

Walny, Jagoda ; Storteboom, Sarah ; Pusch, Richard ; Hwang, Steven Munsu ; Knudsen, Soren ; Carpendale, Sheelagh ; Willett, Wesley. / Pixelclipper : Supporting public engagement and conversation about visualizations. I: IEEE Computer Graphics and Applications. 2020 ; Bind 40, Nr. 2. s. 57-70.

Bibtex

@article{ac3e5dedc6884faf99e0e7da4c84a7eb,
title = "Pixelclipper: Supporting public engagement and conversation about visualizations",
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.",
author = "Jagoda Walny and Sarah Storteboom and Richard Pusch and Hwang, {Steven Munsu} and Soren Knudsen and Sheelagh Carpendale and Wesley Willett",
year = "2020",
month = mar,
day = "1",
doi = "10.1109/MCG.2020.2968906",
language = "English",
volume = "40",
pages = "57--70",
journal = "IEEE Computer Graphics and Applications",
issn = "0272-1716",
publisher = "Institute of Electrical and Electronics Engineers",
number = "2",

}

RIS

TY - JOUR

T1 - Pixelclipper

T2 - Supporting public engagement and conversation about visualizations

AU - Walny, Jagoda

AU - Storteboom, Sarah

AU - Pusch, Richard

AU - Hwang, Steven Munsu

AU - Knudsen, Soren

AU - Carpendale, Sheelagh

AU - Willett, Wesley

PY - 2020/3/1

Y1 - 2020/3/1

N2 - 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.

AB - 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.

U2 - 10.1109/MCG.2020.2968906

DO - 10.1109/MCG.2020.2968906

M3 - Journal article

C2 - 31985410

AN - SCOPUS:85078471979

VL - 40

SP - 57

EP - 70

JO - IEEE Computer Graphics and Applications

JF - IEEE Computer Graphics and Applications

SN - 0272-1716

IS - 2

ER -

ID: 255052053