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 language | English |
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Title of host publication | C and C 2019 - Proceedings of the 2019 Creativity and Cognition |
Subtitle of host publication | Proceedings of the 2019 Creativity and Cognition |
Editors | Steven Dow, Mary Lou Maher, Andruid Kerne, Celine Latulipe |
Place of Publication | New York |
Publisher | Association for Computing Machinery |
Pages | 163-172 |
Number of pages | 10 |
ISBN (Electronic) | 9781450359177 |
DOIs | |
Publication status | Published - 13 Jun 2019 |
Event | Creativity & Cognition - San Diego, United States Duration: 23 Jun 2019 → 26 Jun 2019 Conference number: 12 http://cc.acm.org/2019/ |
Publication series
Name | C and C 2019 - Proceedings of the 2019 Creativity and Cognition |
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Conference
Conference | Creativity & Cognition |
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Country/Territory | United States |
City | San Diego |
Period | 23/06/19 → 26/06/19 |
Internet address |
Keywords
- Creativity
- Data art
- Model users
- Quantified self
- Self-tracking
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Software