Stripe painting: A method of expressing the experience of cycling through 'quantified self' data visualisation

Shaleph O'Neill

doi:10.1145/2968219.2968328

Stripe painting: A method of expressing the experience of cycling through 'quantified self' data visualisation

Shaleph O'Neill (Lead / Corresponding author)

Communication Design

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

203 Downloads (Pure)

Abstract

This paper describes a collection of data-driven aesthetic explorations that investigate the concept of 'cycling as art practice' through the lens of 'quantified self' data-visualization. The explorations draw upon the philosophy of the 'Walking artists' and the concept of 'Deep mapping' and the focus of the work is on trying to visualize the experience of cycling. In doing so it draws attention to what aspects of experience can and cannot be quantified through the kinds of data we capture about ourselves.

Original language	English
Title of host publication	UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Publisher	Association for Computing Machinery
Pages	600-601
Number of pages	2
ISBN (Electronic)	9781450344623
DOIs	https://doi.org/10.1145/2968219.2968328
Publication status	Published - 12 Sept 2016
Event	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Conference

Conference	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
Country/Territory	Germany
City	Heidelberg
Period	12/09/16 → 16/09/16

Keywords

Art
Cycling
Data
Quantified Self

ASJC Scopus subject areas

Hardware and Architecture
Software
Information Systems
Computer Networks and Communications
Human-Computer Interaction

Access to Document

10.1145/2968219.2968328

Publisher final version
Permission to make digital or hard copies of part or all of this work forpersonal or classroom use is granted without fee provided that copies arenot made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all otheruses, contact the Owner/Author. Copyright is held by the owner/author(s). Ubicomp/ISWC'16 Adjunct , September 12-16, 2016, Heidelberg, Germany ACM 978-1-4503-4462-3/16/09. http://dx.doi.org/10.1145/2968219.2968328
Final published version, 129 KBLicence: Other

Cite this

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title = "Stripe painting: A method of expressing the experience of cycling through 'quantified self' data visualisation",

abstract = "This paper describes a collection of data-driven aesthetic explorations that investigate the concept of 'cycling as art practice' through the lens of 'quantified self' data-visualization. The explorations draw upon the philosophy of the 'Walking artists' and the concept of 'Deep mapping' and the focus of the work is on trying to visualize the experience of cycling. In doing so it draws attention to what aspects of experience can and cannot be quantified through the kinds of data we capture about ourselves.",

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O'Neill, S 2016, Stripe painting: A method of expressing the experience of cycling through 'quantified self' data visualisation. in UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, pp. 600-601, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12/09/16. https://doi.org/10.1145/2968219.2968328

Stripe painting: A method of expressing the experience of cycling through 'quantified self' data visualisation. / O'Neill, Shaleph (Lead / Corresponding author).
UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, 2016. p. 600-601.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - This paper describes a collection of data-driven aesthetic explorations that investigate the concept of 'cycling as art practice' through the lens of 'quantified self' data-visualization. The explorations draw upon the philosophy of the 'Walking artists' and the concept of 'Deep mapping' and the focus of the work is on trying to visualize the experience of cycling. In doing so it draws attention to what aspects of experience can and cannot be quantified through the kinds of data we capture about ourselves.

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Stripe painting: A method of expressing the experience of cycling through 'quantified self' data visualisation

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Keywords

ASJC Scopus subject areas

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