My data body

Marilène Oliver, Scott Smallwood, Stephan Moore, J. R. Carpenter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In My Data Body, the magnetic resonance (MR) scanned body of the artist Marilène Oliver floats prone within a 'cloud' of her textual Facebook data. Into the semi-transparent, virtual body are multiple other data corpuses downloaded from social media platforms plotted into cross sections of the body. In the horizontal plane, Mac terminal data is plotted into bone, Google data into muscle and Facebook data into fat. In the vertical plane are plotted data usage agreements. Passwords and logins flow back and forth through veins and arteries, whilst retinal images, dental scans and 3D meshes of organs and bones are suspended within the quantified and datafied body [Lupton 2016; Van Dijck 2014]. There is a continuous stream of text particles that flow through and around the data body that one can swat away or nestle into.

Original languageEnglish (US)
Title of host publicationProceedings - SIGGRAPH 2022 Art Gallery
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450393720
DOIs
StatePublished - Jul 27 2022
EventSpecial Interest Group on Computer Graphics and Interactive Techniques Conference - Art Gallery, SIGGRAPH 2022 - Vancouver, Canada
Duration: Aug 8 2022Aug 11 2022

Publication series

NameProceedings - SIGGRAPH 2022 Art Gallery

Conference

ConferenceSpecial Interest Group on Computer Graphics and Interactive Techniques Conference - Art Gallery, SIGGRAPH 2022
Country/TerritoryCanada
CityVancouver
Period8/8/228/11/22

Funding

My Data Body was made with the research assistance of Kirtan Shah, Walter Ostrander, Chelsey Campbell, Jiayi Ye and benefited greatly from the expertise of the whole KTVR research team. The project has been supported by the Social Sciences and Humanities Research Council of Canada and the Kule Institute of Advanced Studies, University of Alberta.

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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