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 |