Making Art from Self-Tracking Cycling Data

Research output: Contribution to journalArticle

2 Citations (Scopus)
6 Downloads (Pure)

Abstract

This paper describes a collection of data-driven aesthetic explorations that investigate the concept of 'cycling as art practice' made possible through the use of self-tracking tools while journeying by bicycle into the landscape. The explorations draw upon the philosophy of the ‘Walking Artists’ and the concept of ‘the dematerialization of the art object’ as counterpoints to the Quantified Self Community, which aims to visualize previously invisible aspects of our daily lives for the purposes of positive self-monitoring. In doing so it begins to draw attention aesthetically, and philosophically, to the way in which representations of our experiences, particularly of landscape, can be formed through the use of such technologies for generative art purposes.
Original languageEnglish
Pages (from-to)249-263
Number of pages15
JournalDigital Creativity
Volume29
Issue number4
Early online date6 Sep 2018
DOIs
Publication statusPublished - Oct 2018

Fingerprint

Bicycles
Monitoring
Cycling
Art
Dematerialization
Daily Life
Invisible
Data-driven
Artist
Self-monitoring
Counterpoint
Aesthetics
Philosophy
Generative
Art Objects

Keywords

  • cycling art
  • data art
  • generative art
  • Quantified self

Cite this

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Making Art from Self-Tracking Cycling Data. / O'Neill, Shaleph.

In: Digital Creativity, Vol. 29, No. 4, 10.2018, p. 249-263.

Research output: Contribution to journalArticle

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