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

    6 Citations (Scopus)

    Abstract

    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
    Pages111-124
    Number of pages14
    ISBN (Electronic)9783319653792
    ISBN (Print)9783319653785
    DOIs
    Publication statusPublished - 1 Oct 2017

    Keywords

    • 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)

    Fingerprint

    Dive into the research topics of 'Data privacy: Users' thoughts on quantified self personal data'. Together they form a unique fingerprint.

    Cite this