Author(s):

  • Lyall, Ben
  • Robards, Brady

Abstract:

Since the advent of the smartphone, users have become accustomed to alerts, notifications and reminders to interact with their internet-connected devices. But how do people make sense of prompts to exercise, eat or sleep? Digital self-tracking is a phenomenon that has grown substantially in recent years. However, despite some notable exceptions, there is still little sociological research into how users of wearable devices and apps subjectively experience self-tracking. This article draws on findings from a small qualitative study with 11 participants to reveal eminent themes in how users make sense of their self-tracking. Utilising and extending Lupton’s theorising of self-tracking, we argue for triple roles of self-tracking devices; ‘tool’, ‘toy’ and ‘tutor’. This trichotomy helps to characterise the use of self-tracking devices and apps, allowing us to reflect on the wider, ongoing implications of self-tracking.

Document:

https://doi.org/10.1177/1440783317722854

References:
Anderson, K., Nafus, D., Rattenbury, T., Aipperspach, R. (2009) ‘Numbers Have Qualities Too: Experiences with Ethno-Mining’, Ethnographic Praxis in Industry Conference 1: 123–40.
Google Scholar | Crossref
Apple.com (2016) ‘Apple Watch’, URL (consulted July 2017): http://www.apple.com/au/watch/
Google Scholar
Beaudin, J.S., Intille, S.S., Morris, M.E. (2006) ‘To Track or Not to Track: User Reactions to Concepts in Longitudinal Health Monitoring’, Journal of Medical Internet Research 8(4): n.p.
Google Scholar | Crossref | Medline | ISI
Bell, G., Gemmell, J. (2009) Total Recall. London: Penguin.
Google Scholar
Bentley, F., Tollmar, K., Stephenson, P., Levy, L., Jones, B., Robertson, S.. (2013) ‘Health Mashups: Presenting Statistical Patterns between Wellbeing Data and Context in Natural Language to Promote Behaviour Change’, ACM Transactions on Computer–Human Interaction 20(5): 1–27.
Google Scholar | Crossref | ISI
Crawford, K., Lingel, J., Karppi, T. (2015) ‘Our Metrics, Ourselves: A Hundred Years of Self-tracking from the Weight Scale to the Wrist Wearable Device’, European Journal of Cultural Studies 18(4–5): 479–96.
Google Scholar | SAGE Journals | ISI
Drucker, J. (2011) ‘Humanities Approaches to Graphical Display’, Digital Humanities Quarterly 5(1): 1–23.
Google Scholar
Ellerbrok, A. (2011) ‘Playful Biometrics: Controversial Technology through the Lens of Play’, Sociological Quarterly 52(1): 528–47.
Google Scholar | Crossref | Medline | ISI
Elsden, C., Kirk, D., Durrant, A. (2015) ‘A Quantified Past: Toward a Design for Remembering with Personal Informatics’, Human Computer Interaction 31(6): 518–57.
Google Scholar | Crossref | ISI
Foucault, M. (1984) ‘The Means of Correct Training’, ‘Panopticism’, ‘Complete and Austere Institutions’, Discipline and Punish, pp. 188–225 in Rabinow, P. (ed.) The Foucault Reader. London: Penguin.
Google Scholar
Fox, S., Duggan, M. (2013) ‘Tracking for Health’, Pew Research Center – Internet &Technology, 28 January, URL (consulted July 2017): http://www.pewinternet.org/2013/01/28/tracking-for-health/
Google Scholar
Greenfield, D. (2016) ‘Deep Data: Notes on the N of 1’, pp. 123–46 in Nafus, D. (ed.) Quantified: Biosensing Technologies in Everyday Life. Cambridge, MA: MIT Press.
Google Scholar | Crossref
Li, I., Dey, A., Forlizzi, J. (2010) ‘A Stage-based Model of Personal Informatics Systems’, pp. 557–66 in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Atlanta, GA, 10–15 April.
Google Scholar | Crossref
Lomborg, S., Frandsen, K. (2016) ‘Self-tracking as Communication’, Information, Communication & Society 19(7): 1015–27.
Google Scholar | Crossref | ISI
Lupton, D. (2016) The Quantified Self. Cambridge: Polity Press.
Google Scholar
McCosker, A., Wilken, R. (2014) ‘Rethinking “Big Data” as Visual Knowledge: The Sublime and the Diagrammatic in Data Visualisation’, Visual Studies 29(2): 155–64.
Google Scholar | Crossref | ISI
Nafus, D. (2016) ‘Introduction’, pp. ix–xxxi in Nafus, D. (ed.) Quantified: Biosensing Technologies in Everyday Life. Cambridge, MA: MIT Press.
Google Scholar | Crossref
Pantzar, M., Ruckenstein, M. (2015) ‘The Heart of Everyday Analytics: Emotional, Material and Practical Extensions in Self-tracking Market’, Consumption Markets and Culture 18(1): 92–109.
Google Scholar | Crossref | ISI
Pantzar, M., Shove, E. (2005) ‘Metering Everyday Life: Feedback, Feedforward and the Dynamics of Practice’, paper presented at the Society for the Advancement of Socio-Economics (SASE) conference, Budapest, 30 June.
Google Scholar
Rettberg, J.W. (2014) Seeing Ourselves through Technology: How We Use Selfies, Blogs and Wearable Devices to See and Shape Ourselves. Houndmills: Palgrave Macmillan.
Google Scholar | Crossref
Rooksby, J., Rost, M., Morrison, A., Chalmers, M. (2014) ‘Personal Tracking as Lived Informatics’, pp. 1163–72 in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 26 April –1 May Toronto, Ontario.
Google Scholar | Crossref
Ruckenstein, M. (2014) ‘Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles’, Societies 4(1): 68–84.
Google Scholar | Crossref
Whitson, J. (2013) ‘Gaming the Quantified Self’, Surveillance and Society 11(1): 163–76.
Google Scholar