Data for life: Wearable technology and the design of self-care
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Over the last 5 years, wearable technology – comprising devices whose embedded sensors and analytic algorithms can track, analyze and guide wearers’ behavior – has increasingly captured the attention of venture capitalists, technology startups, established electronics companies and consumers. Drawing on ethnographic fieldwork conducted 2 years running at the Consumer Electronics Show and its Digital Health Summit, this article explores the vision of technologically assisted self-regulation that drives the design of wearable tracking technology. As key artifacts in a new cultural convergence of sensor technology and self-care that I call ‘data for life’, wearables are marketed as digital compasses whose continuous tracking capacities and big-data analytics can help consumers navigate the field of everyday choice making and better control how their bites, sips, steps and minutes of sleep add up to affect their health. By offering consumers a way to simultaneously embrace and outsource the task of lifestyle management, I argue, such products at once exemplify and short-circuit cultural ideals for individual responsibility and self-regulation.
Keywordsdigital health wearable technology self-tracking self-care big data
Thanks to Paul Gardner, Richard Fadok, Linda Hogle and Rayna Rapp for their close readings and helpful suggestions as I worked to develop my initial ideas into a full-length article, and to Colin Koopman and three anonymous reviewers for their valuable revision pointers.
- Albrechtslund, A. (2013) Self-Surveillance: How Quantification Practices and Monitoring Technologies Produce Subjectivity. Annual Meeting of the Society for Social Studies of Science (4S), 9–12 October, San Diego, CA. Unpublished conference paper.Google Scholar
- Andrejevic, M. and Burdon, M. (2014) Defining the Sensor Society. University of Queensland. TC Beirne School of Law Research Paper No. 14–21.Google Scholar
- Berson, Josh. (2015) Computable Bodies: Instrumented Life and the Human Somatic Niche. London: Bloomsbury.Google Scholar
- Blastland, M. and Spiegelhalter, D. (2014) Measuring microlives. Slate 8(September), http://www.slate.com/articles/health_and_science/medical_examiner/2014/09/calculating_life_expectancy_on_the_micro_level_the_impact_of_smoking_red.html, accessed 16 October 2014.
- Boesel, W. (2012a) The woman vs. The stick: Mindfulness at quantified Self 2012 Cyborgology blog, 20 September, http://thesocietypages.org/cyborgology/2012/09/20/the-woman-vs-the-stick-mindfulness-at-quantified-self-2012/, accessed 9 September 2013.
- Boesel, W. (2012b) Meaning-making through numbers: Emotional self-quantification. Cyborgology blog, 13 September, http://thesocietypages.org/cyborgology/2012/09/13/meaning-making-through-numbers-emotional-self-quantification/, accessed 9 September 2013.
- Consumer Electronics Association (2015) The U.S. Consumer Electronic Sales and Forecast 2010–2015. Arlington, VA: Consumer Electronics Association.Google Scholar
- Cukier, K. and Mayer-Schönberger, V. (2013) The rise of big data: How it’s changing the way we think about the world. Foreign Affairs 92(3): 28–40.Google Scholar
- Deleuze, G. (1992 ) Postscript on the Societies of Control. October 59, Winter: 3–7.Google Scholar
- Foucault, M. (1973) The Birth of The Clinic: An Archaeology of Medical Perception. London: Tavistock.Google Scholar
- Foucault, M. (1980) The History of Sexuality Volume 1: An Introduction. Translated by Robert Hurley. New York: Vintage Books.Google Scholar
- Fox, S. and Duggan, M. (2013) Tracking for Health. Pew Internet and American Life Project. Washington DC: Pew Research Center.Google Scholar
- Friedman, L.M. (1994) Republic of Choice: Law, Authority, and Culture. Cambridge, MA: Harvard University Press.Google Scholar
- Giddens, A. (1991) Modernity and Self-Identity: Self and Society in the Late Modern Age. Stanford, CA: Stanford University Press.Google Scholar
- Goetz, T. (2010) The Decision Tree: Taking Control of Your Health in the New Era of Personalized Medicine. New York: Rodale.Google Scholar
- GovLab (2014) The GovLab index: The networked public. 20 June, http://thegovlab.org/the-govlab-index-the-networked-public-updated-and-expanded-2/, accessed 23 August 2014.
- Greene, Jeremy. (2007) Prescribing by Numbers: Drugs and the Definition of Disease. Princeton, NJ: Princeton University Press.Google Scholar
- Hunt, A. (2003) Risk and moralization in everyday life. In: R.V. Ericson and A. Doyle (eds.) Risk and Morality. Toronto, ON: University of Toronto Press, pp. 165–192.Google Scholar
- Kang, J. and Cuff, D. (2005) Pervasive Computing: Embedding the Public Square. 62 WASH. & LEE L. REv. 93, 94.Google Scholar
- Koopman, C. (2014) Michel Foucault’s critical empiricism today: Concepts and analytics in the critique of biopower and infopower. In: J.D. Faubion (ed.) Foucault Now: Current Perspectives in Foucault Studies. Cambridge, UK: Polity Press, pp. 88–111.Google Scholar
- Koopman, C. (2015) The Algorithm and the watchtower. The New Inquiry, 29 September, http://thenewinquiry.com/essays/the-algorithm-and-the-watchtower/.
- Lawler, R. (2013) In defense of the HAPIfork. TechCrunch, http://techcrunch.com/2013/01/12/in-defense-of-the-hapifork/, accessed 21 September 2014.
- Ledger, D. (2014) Inside wearables, Part 2. Cambridge, MA: Endeavour Partners. Industry Report.Google Scholar
- Ledger, D. and McCaffrey, D. (2014) Inside wearables: How the science of human behavior change offers the secret to long-term engagement. Cambridge, MA: Endeavour Partners. Industry Report.Google Scholar
- Levina, M. (2012) Healthymagination: Anticipating health of our future selves. The Fibreculture Journal 20: 143–157.Google Scholar
- Lupton, D. (2015) Managing and materialising data as part of self-tracking. Blog post, 22 March, https://simplysociology.wordpress.com/2015/03/22/managing-and-materialising-data-as-part-of-self-tracking/.
- Lupton, D. (2016) The Quantified Self: A Sociology of Self-Tracking. Cambridge, UK: Polity Press.Google Scholar
- Mackenzie, A. (2008) The affect of efficiency: Personal productivity equipment encounters the multiple. Ephemera: Theory & Politics in Organization 8(2): 137–156.Google Scholar
- Mayer-Schönberger, V. and Cukier, K. (2013) Big Data: A revolution That will Transform How we Live, Work, and Think. Boston, MA: Houghton Mifflin Harcourt.Google Scholar
- Melichar, L. (2014) Sparking Behavior Change to Create a Culture of Health. Talked delivered to MIT Media Lab Seminar “Tools for Wellbeing,” 11 April.Google Scholar
- Mobihealth (2014) In-depth: Q2 2014 digital health state of the industry, http://mobihealthnews.com/36044/in-depth-q2-2014-digital-health-state-of-the-industry, accessed 20 December 2014.
- Nafus, D. and Neff, G. (2016) Quantified Self. In Essential Knowledge Series. Cambridge, MA: MIT Press.Google Scholar
- Nafus, D. and Sherman, J. (2014) This one does not go up to 11: The quantified self movement as an alternative big data practice. International Journal of Communication 8: 1784–1794.Google Scholar
- Oxlund, B. (2012) Living by numbers: The dynamic interplay of asymptotic conditions and low cost measurement technologies in the cases of two women in the danish provinces. Suomen Antropologi 37(3): 42–56.Google Scholar
- Potts, T. (2010) Life hacking and everyday rhythm. In: T. Edensor (ed.) Geographies of Rhythm: Nature, Place, Mobilities, and Bodies. Burlington, VT: Ashgate Publishing Company.Google Scholar
- Rahns, R.G. et al (2013) Mobile Health Market Trends and Figures 2013–2017. Report on the Commercialization of mHealth Applications, Vol. 3. Berlin, Germany: Research2Guidance.Google Scholar
- Schüll, N. (2014) Obamacare meets wearable technology. MIT Technology Review, 6 May.Google Scholar
- Schüll, N. (Forthcoming) Keeping Track: Sensor Technology, Self-Regulation, and the Data-Driven Life. New York: Farrar, Straus, and Giroux.Google Scholar
- Schwartz, B. (2005) The Paradox of Choice: Why more is Less. New York: Ecco.Google Scholar
- Singer, N. (2015) Technology that prods you to take change, not just collect data (an interview with Natasha Dow Schüll). New York Times, Business Section (Technophoria) 19 April, p. B3.Google Scholar
- Sunstein, C.R. (2015) Choosing Not to Choose: Understanding the Value of Choice. Oxford: Oxford University Press.Google Scholar
- Thaler, R.H. and Sunstein, C. (2008) Nudge: Improving Decisions About Health, Wealth, and Happiness. New Haven, CT: Yale University Press.Google Scholar
- Topol, E.J. (2012) The Creative Destruction of Medicine: How the Digital Revolution will Create Better Health Care. New York: Basic Books.Google Scholar
- Topol, E.J. (2015) The Patient will See You Now: The Future of Medicine is in your Hands. New York: Basic Books.Google Scholar
- van Dijck, J. (2014) Datafication, dataism and dataveillance: Big data between scientific paradigm and ideology. Surveillance and Society 12(2): 197–208.Google Scholar
- Viseu, A. (2013) Wearable computers and the informed informational body. In: D. Bulatov (ed.) Evolution and Haute Couture: Art and Science in the Post-Biological Age. Karliningrad: The National Centre for Contemporary Arts, Baltic Branch, pp. 122–135.Google Scholar
- Viseu, A. and Suchman, L. (2010) Wearable augmentations: Imaginaries of the informed body. In: J. Edwards, P. Harvey and P. Wade (eds.) Technologized Images, Technologized Bodies. New York: Berghahn Books, pp. 161–184.Google Scholar
- Watson, S. (2013) Living with Data: Personal Data Uses of the Quantified Self. Thesis completed in requirement of M.Phil at Oxford University.Google Scholar
- Weisz, G. (2014) Chronic Disease in the Twentieth Century: A History. Baltimore, MD: Johns Hopkins University Press.Google Scholar