The Artist as Model User: Reflections on Creating with a Quantified Self

Shaleph O'Neill (Lead / Corresponding author)

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

6 Citations (Scopus)
254 Downloads (Pure)

Abstract

The idea of the ‘model user’ is well established in Computer Science. However, the usual practice of establishing a model user might not be appropriate within the context of personal data where such models are potentially limiting and exclusory. The domain of selftracking data art offers an alternative view on the concept of the Quantified Self. The model user then becomes that of the data artist. An ‘edge case’ where the user’s representation of ‘self’ is determined more by creative skills and less by the tools used. Moreover, it is argued that models of creativity could be useful in order to understand the concept of Quantified Self as an on-going process. The Mace and Ward model is given particular attention and examples of artists work, including the author’s own, are discussed in order to highlight the complexity of the issues they face and the ways in which they overcome them.
Original languageEnglish
Title of host publicationC and C 2019 - Proceedings of the 2019 Creativity and Cognition
Subtitle of host publicationProceedings of the 2019 Creativity and Cognition
EditorsSteven Dow, Mary Lou Maher, Andruid Kerne, Celine Latulipe
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages163-172
Number of pages10
ISBN (Electronic)9781450359177
DOIs
Publication statusPublished - 13 Jun 2019
EventCreativity & Cognition - San Diego, United States
Duration: 23 Jun 201926 Jun 2019
Conference number: 12
http://cc.acm.org/2019/

Publication series

NameC and C 2019 - Proceedings of the 2019 Creativity and Cognition

Conference

ConferenceCreativity & Cognition
Country/TerritoryUnited States
CitySan Diego
Period23/06/1926/06/19
Internet address

Keywords

  • Creativity
  • Data art
  • Model users
  • Quantified self
  • Self-tracking

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Software

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