Advertising Positions : Data Portraiture as Aesthetic Critique

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Author(s)

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Detail(s)

Original languageEnglish
Pages (from-to)413-418
Journal / PublicationLeonardo
Volume51
Issue number4
Publication statusPublished - Aug 2018

Conference

Title45th SIGGRAPH Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2018: GENERATIONS
LocationVancouver Convention Centre
PlaceCanada
CityVancouver
Period12 - 16 August 2018

Abstract

Advertising Positions integrates 3D scanning, motion capture, novel image mapping algorithms and custom animation to create data portraits from the advertisements served by online trackers. Project volunteers use bespoke software to harvest the ads they receive over months of browsing. When enough ads have been collected, the volunteer is interviewed, 3D scanned and motion captured. Each ad is then mapped to a single polygon on the textured skin of their virtual avatar. Outcomes have been displayed as 2D/3D images, animations and interactive installations.

Citation Format(s)

Advertising Positions : Data Portraiture as Aesthetic Critique. / Howe, Daniel C.; Chen, Qianxun; Chen, Zong.

In: Leonardo, Vol. 51, No. 4, 08.2018, p. 413-418.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review