Data privacy: Users' thoughts on quantified self personal data

Keith Spiller, Kirstie Ball, Arosha Bandara, Maureen Meadows, Ciaran McCormick, Bashar Nuseibeh, Blaine A. Price

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)


The logging of personal data has been shown to offer many benefits for those wanting to, for example, get fitter, get stronger or get to know themselves better. In this chapter, we concentrate on the privacy values attributed to Quantified-Self (QS) data. Using evidence taken from research interviews, this chapter reviews privacy in relation to personal data and offers an empirical perspective on how QS users view and value the data they collect, and often display publically, as well as their attitudes towards the handling of their data by QS device manufacturers. We question appreciations of privacy in QS data and elaborate on how users value their QS privacy.

Original languageEnglish
Title of host publicationSelf-Tracking
Subtitle of host publicationEmpirical and Philosophical Investigations
PublisherSpringer International Publishing
Number of pages14
ISBN (Electronic)9783319653792
ISBN (Print)9783319653785
Publication statusPublished - 1 Oct 2017


  • Personal data
  • Privacy
  • Quantified Self
  • Self-tracking

ASJC Scopus subject areas

  • Social Sciences(all)
  • Medicine(all)
  • Economics, Econometrics and Finance(all)
  • Business, Management and Accounting(all)

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