Abstract
Self-tracking, defined as the utilisation of computational devices that track personal data about physiologies and everyday behaviours in the quest for self-knowledge, has become a vibrant area of interdisciplinary research. Ethnographic studies highlight how self-tracking devices shape self-experience, as they accentuate and amplify aspects of the self and daily comportment. Following the contextual uses of digital data and data analytics carefully casts doubt on universal claims about technologised futures. Studies benefit from a loosening of methodological and theoretical commitments in order to explore self-tracking as ‘an unknown’, rather than a pre-defined research object. One of the strengths of the anthropology of technology is its multi-stability, a quality that facilitates the exploration of the phenomenon under study from contradictory and complementary perspectives. Self-tracking research maintains its originality if it finds ways to engage with the different registers and scales that are at play in processes of datafication and everyday techno-engagements. Ultimately, self-tracking-related research deals with the long-standing question: What and how is human? Technologies shape assumptions and promises of life, connecting anthropological research to the way in which specific devices and algorithmic systems are part of the processes in which the human is extended, reduced, inspired, and overpowered.
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References
Anderson, K., Nafus, D., Rattenbury, T., & Aipperspach, R. (2009). Numbers have qualities too: Experiences with ethno-mining. Ethnographic Praxis in Industry Conference Proceedings, 1, 123–140. https://doi.org/10.1111/j.1559-8918.2009.tb00133.x.
Berg, M. (2017). Making sense with sensors: Self-tracking and the temporalities of wellbeing. Digital Health, 3, 1–11. https://doi.org/10.1177/2055207617699767.
Berson, J. (2015). Computable Bodies: Instrumented Life and the Human Somatic Niche. London: Bloomsbury Academic.
Blok, A., & Pedersen, M. A. (2014). Complementary social science? Quali-quantitative experiments in a Big Data world. Big Data & Society 1(2), 1–6. https://doi.org/10.1177/2053951714543908.
Bode, M., & Kristensen, D. B. (2015). The digital doppelgänger within: A study on self-tracking and the quantified self movement. In R. Canniford, & D. Bajde (Eds.), Assembling Consumption (pp. 119–134). London: Routledge.
Cefkin, M. (Ed.) (2010). Ethnography and the Corporate Encounter: Reflections on Research in and of Corporations. Studies in Public and Applied Anthropology. Vol. 5. Brooklyn, NY: Berghahn Books.
Cohn, S. (2010). Picturing the brain inside, revealing the illness outside: A comparison of the different meanings attributed to brain scans by scientists and patients. In J. Edwards, P. Harvey, and P. Wade (Eds.), Technologized Images, Technologized Bodies (pp. 65–84). Brooklyn, NY: Berghahn Books.
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), 479–496. https://doi.org/10.1177/1367549415584857.
Daston, L., & Galison, P. (2010). Objectivity. Brooklyn, NY: Zone Books.
Depper, A., & Howe, P. D. (2017). Are we fit yet? English adolescent girls’ experiences of health and fitness apps. Health Sociology Review 26(1), 98–112. https://doi.org/10.1080/14461242.2016.1196599.
Didžiokaitė, G., Saukko, P., & Greiffenhagen, C. (2018). The mundane experience of everyday calorie trackers: Beyond the metaphor of Quantified Self. New Media & Society, 20(4), 1470–1487. https://doi.org/10.1177/1461444817698478.
D’Ignazio, C., & Klein, L. F. (2020). Data feminism. Cambridge, MA: The MIT Press.
DuFault, B. L., & Schouten, J. W. (2020). Self-quantification and the datapreneurial consumer identity. Consumption Markets & Culture, 23(3), 290–316. https://doi.org/10.1080/10253866.2018.1519489.
Dyer, J. (2016) Quantified bodies: A design practice. Digital Culture & Society. 2(1), 161-168.
Edwards, J., Harvey, P., & Wade, P. (2010). Technologized images, technologized bodies. In J. Edwards, P. Harvey, & P. Wade (Eds.), Technologized Images, technologized bodies (pp. 1–35). Brooklyn, NY: Berghahn Books.
Fors, V., Pink, S., Berg, M., & O’Dell, T. (2020). Imagining Personal Data: Experiences of Self-Tracking. London: Routledge.
Fotopoulou, A., & O’Riordan, K. (2017). Training to self-care: fitness tracking, biopedagogy and the healthy consumer. Health Sociology Review, 26(1), 54–68. https://doi.org/10.1080/14461242.2016.1184582.
Foucault, M. (1988). Technologies of the Self. In L. H. Martin, H. Gutman, & P. H. Hutton (Eds.), Technologies of the Self: A Seminar with Michel Foucault (pp. 16–49). Amherst, MA: University of Massachusetts Press.
Fourcade, M., & Healy, K. (2017). Seeing like a market. Socio-Economic Review, 15(1), 9–29. https://doi.org/10.1093/ser/mww033.
Gorm, N., & Shklovski, I. (2019). Episodic use: Practices of care in self-tracking. New Media & Society, 21(11–12), 2505–2521. https://doi.org/10.1177/1461444819851239.
Greenfield, D. (2016). Deep Data: Notes on the n of 1. In D. Nafus (Ed.), Quantified: Biosensing Technologies in Everyday Life (pp. 123–146). Cambridge, MA: The MIT Press.
Haggerty, K. D., & Ericson, R. V. (2000). The surveillant assemblage. British Journal of Sociology, 51(4), 605–622. https://doi.org/10.1080/00071310020015280.
Ingold, T. (2000). The Perception of the Environment: Essays on Livelihood, Dwelling and Skill. London: Routledge.
Jackson, S. J. (2014). Rethinking repair. In T. Gillespie, P. J. Boczkowski, & K. A. Foot (Eds.), Media Technologies: Essays on Communication, Materiality, and Society (pp. 221–240). Cambridge, MA: The MIT Press.
Klauser, F. R., & Albrechtslund, A. (2014). From self-tracking to smart urban infrastructures: Towards an interdisciplinary research agenda on Big Data. Surveillance & Society, 12(2), 273–86. https://doi.org/10.24908/ss.v12i2.4605.
Kristensen, D. B., & Ruckenstein, M. (2018). Co-evolving with self-tracking technologies. New Media & Society, 20(10), 3624–3640. https://doi.org/10.1177/1461444818755650.
Lazar, A., Koehler, C., Tanenbaum, J., & Nguyen, D. H. (2015). Why we use and abandon smart devices. Conference paper. Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 635–646).
Lindner, P. (2020). Molecular Politics, Wearables, and the Aretaic Shift in Biopolitical Governance. Theory, Culture & Society, 37(3), 71–96. https://doi.org/10.1177/0263276419894053.
Lomborg, S. & Frandsen, K. (2016). Self-tracking as communication. Information, Communication & Society, 19(7), 1015–1027. https://doi.org/10.1080/1369118X.2015.1067710.
Lupton, D. (2015). Quantified sex: a critical analysis of sexual and reproductive self-tracking using apps. Culture, Health & Sexuality, 17(4), 440–453. https://doi.org/10.1080/13691058.2014.920528.
Lupton, D. (2016a). The diverse domains of quantified selves: self-tracking modes and dataveillance. Economy and Society, 45(1), 101–122.
Lupton, D. (2016b). The Quantified Self: A Sociology of Self-Tracking. Cambridge, MA: Polity Press.
Lupton, D. (2019). Data selves: More-than-human perspectives. Cambridge, MA: Polity Press.
Lyall, B., & Robards, B. (2018). Tool, toy and tutor: Subjective experiences of digital self-tracking. Journal of Sociology, 54(1), 108–124. https://doi.org/10.1177/1440783317722854.
Martin, E. (2009). Bipolar Expeditions: Mania and Depression in American Culture. Princeton, NJ: Princeton University Press.
Meneley, A. (2019). Walk This Way: Fitbit and Other Kinds of Walking in Palestine. Cultural Anthropology, 34(1), 130–154. https://doi.org/10.14506/ca34.1.11.
Mol, A., & Law, J. (2004). Embodied Action, Enacted Bodies: The Example of Hypoglycaemia. Body & Society, 10(2–3), 43–62. https://doi.org/10.1177/1357034X04042932.
Munk, A. K. (2019). Four styles of quali-quantitative analysis: Making sense of the new Nordic food movement on the web. Nordicom Review, 40(s1), 159–176. https://doi.org/10.2478/nor-2019-0020.
Nafus, D., & 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.
Nafus, D. (2019). Data Aggregation as Social Relations: Making Datasets from Self-Tracking Data. European Review, 27(3), 440–454.
Neff, G., & Nafus, D. (2016). Self-tracking. Cambridge, MA: The MIT Press.
Oxlund, B. (2012). Living by numbers: The dynamic interplay of asymptomatic conditions and low cost measurement technologies in the cases of two women in the Danish provinces. Suomen Antropologi, 37(3), 42–56.
Pantzar, M., & Ruckenstein, M. (2017). Living the metrics: Self-tracking and situated objectivity. Digital Health, 3, 1–10. https://doi.org/10.1177/2055207617712590.
Pantzar, M., Ruckenstein, M., & Mustonen, V. (2017). Social rhythms of the heart. Health Sociology Review, 26(1), 22–37. https://doi.org/10.1080/14461242.2016.1184580.
Pasquale, F. (2015). The Black Box Society: The Secret Algorithms That Control Money and Information. Cambridge, MA: Harvard University Press.
Peake, B. (2015, April 21). Decolonizing design anthropology with Tinn. The CASTAC blog. http://blog.castac.org/2015/04/designing-tinn/. Accessed 17 September 2020.
Pink, S., & Fors, V. (2017). Being in a mediated world: self-tracking and the mind–body–environment. Cultural Geographies, 24(3), 375–388. https://doi.org/10.1177/1474474016684127.
Pols, J., Willems, D., & Aanestad, M. (2019). Making sense with numbers. Unravelling ethico-psychological subjects in practices of self-quantification. Sociology of Health & Illness, 41(S1), 98–115. https://doi.org/10.1111/1467-9566.12894.
Pretnar, A., & Podjed, D. (2018). Data Mining Workspace Sensors: A New Approach to Anthropology. Conference paper. Conference on Language Technologies & Digital Humanities Ljubljana (pp. 227–233). https://e-knjige.ff.uni-lj.si/znanstvena-zalozba/catalog/download/120/214/3104- 1?inline=1. Accessed 17 September 2020.
Rapp, R. (2004). Testing Women, Testing the Fetus: The Social Impact of Amniocentesis in America. London: Routledge.
Ruckenstein, M. (2014). Visualized and Interacted Life: Personal Analytics and Engagements with Data Doubles. Societies, 4(1), 68–84. https://doi.org/10.3390/soc4010068.
Ruckenstein, M. (2017). Keeping data alive: Talking DTC genetic testing. Information, Communication & Society, 20(7), 1024–1039. https://doi.org/10.1080/1369118X.2016.1203975.
Ruckenstein, M. (2019). Tracing medicinal agencies: Antidepressants and life-effects. Social Science & Medicine, 235, 112368. https://doi.org/10.1016/j.socscimed.2019.112368.
Ruckenstein, M., & Pantzar, M. (2015). Datafied Life: Techno-Anthropology as a Site for Exploration and Experimentation. Techné: Research in Philosophy and Technology, 19(2), 191–210. https://doi.org/10.5840/techne20159935.
Ruckenstein, M., & Pantzar, M. (2017). Beyond the Quantified Self: Thematic exploration of a dataistic paradigm. New Media & Society, 19(3), 401–418. https://doi.org/10.1177/1461444815609081.
Ruckenstein, M., & Schüll, N. D. (2017). The Datafication of Health. Annual Review of Anthropology, 46, 261–278. https://doi.org/10.1146/annurev-anthro-102116-041244.
Ruppert, E., Law, J., & Savage, M. (2013). Reassembling Social Science Methods: The Challenge of Digital Devices. Theory, Culture & Society, 30(4), 22–46. https://doi.org/10.1177/0263276413484941.
Scheldeman, G. (2010). Technokids? Insulin pumps incorporated in young people’s bodies and lives. In J. Edwards, P. Harvey, & P. Wade (Eds.), Technologized Images, Technologized Bodies (pp. 137–160). Brooklyn, NY: Berghahn Books.
Schüll, N. D. (2016a). Data for life: Wearable technology and the design of self-care. BioSocieties, 11(3), 317–333. https://doi.org/10.1057/biosoc.2015.47.
Schüll, N. D. (2016b). Sensor technology and the time-series self. Continent, 5(1), 24–29.
Schüll, N. D. (2018, October 31). The Sense Mother. Theorizing the Contemporary. Fieldsights. https://culanth.org/fieldsights/the-sense-mother. Accessed 17 September 2020.
Schüll, N.D. (2019) The data-based self: Self-quantification and the data-driven (good)life. Social Research, 86(4), 909–930.
Schwennesen, N. (2019). Algorithmic assemblages of care: imaginaries, epistemologies and repair work. Sociology of Health & Illness, 41(S1), 176–192. https://doi.org/10.1111/1467-9566.12900.
Sharon, T. (2015). Healthy citizenship beyond autonomy and discipline: Tactical engagements with genetic testing. BioSocieties, 10(3), 295–316. https://doi.org/10.1057/biosoc.2014.29.
Sharon, T. (2017). Self-Tracking for Health and the Quantified Self: Re-Articulating Autonomy, Solidarity, and Authenticity in an Age of Personalized Healthcare. Philosophy & Technology, 30(1), 93–121. https://doi.org/10.1007/s13347-016-0215-5.
Sharon, T., & Zandbergen, D. (2017). From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media & Society, 19(11), 1695–1709. https://doi.org/10.1177/1461444816636090.
Sherman, J. (2016). Data in the Age of Digital Reproduction: Reading the Quantified Self through Walter Benjamin. In D. Nafus (Ed.), Quantified: Biosensing Technologies in Everyday Life (pp. 27–42). Cambridge, MA: The MIT Press.
Smith, G. J. D., & Vonthethoff, B. (2017). Health by numbers? Exploring the practice and experience of datafied health. Health Sociology Review, 26(1), 6–21. https://doi.org/10.1080/14461242.2016.1196600.
Stiegler, B. (1998). Technics and Time, 1: The Fault of Epimetheus. Stanford, CA: Stanford University Press.
Strathern, M. (Ed.) (2000). Audit Cultures. Anthropological Studies in Accountability, Ethics and the Academy. London: Routledge.
Swan, M. (2012). Sensor mania! The Internet of Things, Wearable Computing, Objective Metrics, and the Quantified Self 2.0. Journal of Sensor and Actuator Networks, 1(3), 217–253. https://doi.org/10.3390/jsan1030217.
Van Den Eede, Y. (2015). Tracing the Tracker: A Postphenomenological Inquiry into Self-Tracking Technologies. In R. Rosenberger & P. P. Verbeek (Eds.), Postphenomenological Investigations: Essays on Human–Technology Relations (pp. 143–158). Lanham, MD: Lexington Books.
van Dijck, J. (2014). Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology. Surveillance & Society, 12(2), 197–208. https://doi.org/10.24908/ss.v12i2.4776.
Viseu, A., & Suchman, L. (2010). Wearable augmentations: Imaginaries of the informed body. In J. Edwards, P. Harvey, & P. Wade (Eds.), Technologized Images, Technologized Bodies (pp. 161–184). Brooklyn, NY: Berghahn Books.
Will, C. M., Henwood, F., Weiner, K., & Williams, R. (2020). Negotiating the practical ethics of ‘self-tracking’ in intimate relationships: Looking for care in healthy living. Social Science & Medicine, 266, 113301. https://doi.org/10.1016/j.socscimed.2020.113301.
Wolf, G. (2016). The Quantified Self: Reverse Engineering. In D. Nafus (Ed.), Quantified: Biosensing Technologies in Everyday Life (pp. 67–78). Cambridge, MA: The MIT Press.
Acknowledgements
My self-tracking research has been deeply influenced by collaboration with Dorthe Brogård Kristensen, Mika Pantzar, and Natasha Dow Schüll. I am grateful to have had such brilliant scholars as companions in this journey. The research network on self-tracking and autonomised bodies with Martin Berg, Vaike Fors, Deborah Lupton, and Sarah Pink has offered further inspiration and valuable ideas on how to expand the scope of self-tracking research.
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Ruckenstein, M. (2022). Charting the Unknown: Tracking the Self, Experimenting with the Digital. In: Bruun, M.H., et al. The Palgrave Handbook of the Anthropology of Technology. Palgrave Macmillan, Singapore. https://doi.org/10.1007/978-981-16-7084-8_13
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