Author(s):

Pantzar, Mika

Ruckenstein, Minna

Abstract:

This paper evaluates self-tracking practices in connection with ideas of objectivity via exploration of confrontations with personal data, particularly with reference to physiological stress and recovery measurements. The discussion departs from the notion of ‘mechanical objectivity’, seeking to obtain evidence that is ‘uncontaminated by interpretation’. The framework of mechanical objectivity tends, however, to fall short when people translate physiological measurements to fit their expectations and everyday experiences. We develop the concept of ‘situated objectivity’ with the goal of highlighting the everyday as a domain of interpretation, reflection and ambiguity, proposing that the concept offers an analytical entry point to a more profound understanding of how people engage with their personal data. Everyday data encounters are not methodical and systematic, but combine knowledge in an eclectic manner. Framed in this way, self-tracking practices are less occupied with ‘facts of life’ than translatin…

Document:

https://journals.sagepub.com/doi/10.1177/2055207617712590?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200www.ncbi.nlm.nih.gov

References:
1.Ledger, D, McCaffrey, D. Inside wearables: How the science of human behavior change offers the secret to long-term engagement. 200.93. Endeavour Partners, 2014, https://blog.endeavour.partners/inside-wearable-how-the-science-of-human-behavior-change-offers-the-secret-to-long-term-engagement-a15b3c7d4cf3 (accessed 20 May 2017).
Google Scholar
2.Lazar A, Koehler C, Tanenbaum J, et al. Why we use and abandon smart devices. In: Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Osaka, Japan, September 7–11, pp. 635–646. ACM.
Google Scholar
3.Patel, MS, Asch, DA, Volpp, KG. Wearable devices as facilitators, not drivers, of health behavior change. JAMA 2015; 313: 459–460.
Google Scholar | Crossref | Medline | ISI
4.Elsden, C, Kirk, DS, Durrant, AC. A quantified past: Toward design for remembering with personal informatics. Human–Computer Interaction 2016; 31: 518–557.
Google Scholar | Crossref | ISI
5.Schüll, ND . Data for life: Wearable technology and the design of self-care. BioSocieties 2016; 11: 317–333.
Google Scholar | Crossref | ISI
6.Oxlund, B . Living by numbers. Suomen Antropologi: Journal of the Finnish Anthropological Society 2012; 37: 42–56.
Google Scholar
7.Lupton, D . Quantified sex: A critical analysis of sexual and reproductive self-tracking using apps. Cult Health Sex 2015; 17: 440–453.
Google Scholar | Crossref | Medline | ISI
8.Fiore-Gartland, B, Neff, G. Communication, mediation, and the expectations of data: Data valences across health and wellness communities. Int J Commun 2015; 9: 1466–1484.
Google Scholar | ISI
9.Ruckenstein, M . Visualized and interacted life: Personal analytics and engagements with data doubles. Societies (Basel) 2014; 4: 68–84.
Google Scholar | Crossref
10.Lupton, D . The quantified self: A sociology of self-tracking, Cambridge, UK: Polity Press, 2016.
Google Scholar
11.Daston, L, Galison, P. Objectivity, New York: Zone Books, 2010.
Google Scholar
12.Niva, M . Online weight-loss services and a calculative practice of slimming. Health. Epub ahead of print 28 December 2015. DOI: 10.1177/1363459315622042.
Google Scholar | ISI
13.Nafus, D, Sherman, J. This one does not go up to 11: the quantified self movement as an alternative big data practice. Int J Commun 2014; 8: 1784–1794.
Google Scholar | ISI
14.Schüll, ND . Sensor technology and the time-series self. Continent 2016; 5: 24–29.
Google Scholar
15.Sharon, T . Self-tracking for health and the quantified self: Re-articulating autonomy, solidarity, and authenticity in an age of personalized healthcare. Philos Technol 2016; 1: 1–29.
Google Scholar
16.Sharon, T, Zandbergen, D. From data fetishism to quantifying selves: Self-tracking practices and the other values of data. New Media Soc 2016. doi/10.1177/1461444816636090, (accessed 20 May 2017).
Google Scholar | SAGE Journals | ISI
17.Douglas, H . The irreducible complexity of objectivity. Synthese 2004; 138: 453–473.
Google Scholar | Crossref | ISI
18.Haraway, D . Situated knowledges: The science question in feminism and the privilege of partial perspective. Fem Stud 1988; 4: 575–599.
Google Scholar | Crossref | ISI
19.Ruckenstein, M, Pantzar, M. Beyond the quantified self: Thematic exploration of a dataistic paradigm. New Media Soc 2015; 19: 401–418.
Google Scholar | SAGE Journals | ISI
20.Foucault, M . The birth of the clinic, London: Routledge, 2012.
Google Scholar
21.Lomborg, S, Frandsen, K. Self-tracking as communication. Inf Commun Soc 2016; 19: 1015–1027.
Google Scholar | Crossref | ISI
22.Pantzar, M, Ruckenstein, M, Mustonen, V. Social rhythms of the heart. Health Sociol Rev 2017; 26: 22–37.
Google Scholar | Crossref | Medline | ISI
23.Kettunen J. Methodological and empirical advances in the quantitative analysis of spontaneous responses in psychophysiological time series. Helsingin yliopiston psykologian laitoksen tutkimuksia [Studies in Psychology of the University of Helsinki] Helsinki, report no. 21, 1991.
Google Scholar
24.Koolhaas, J, Bartolomucci, A, Buwalda, B. Stress revisited: A critical evaluation of the stress concept. Neurosci Biobehav Rev 2011; 35: 1291–1301.
Google Scholar | Crossref | Medline | ISI
25.Nafus, D . Stuck data, dead data, and disloyal data: The stops and starts in making numbers into social practices. Distinktion: Scandinavian Journal of Social Theory 2014; 15: 208–222.
Google Scholar | Crossref
26.Pantzar, M, Ruckenstein, M. The heart of everyday analytics: Emotional, material and practical extensions in self-tracking market. Consumption Markets & Culture 2015; 18: 92–109.
Google Scholar | Crossref | ISI
27.Van Den Eede, Y Tracing the tracker: A postphenomenological inquiry into self-tracking technologies. In: Rosenberger, R, Verbeek, P-P (eds). Postphenomenological investigations: Essays on human–technology relations, Lanham, MD: Lexington Books, 2015, pp. 143–158.
Google Scholar
28.Pink, S, Fors, V. Being in a mediated world: Self-tracking and the mind–body–environment. Cultural Geographies. Epub ahead of print 12 January 2017. DOI: 1474474016684127.
Google Scholar | ISI
29.Ruckenstein, M . Keeping data alive: Talking DTC genetic testing. Inf Commun Soc 2017; 20: 1024–1039.
Google Scholar | Crossref | ISI
30.Berger, PL, Luckmann, T. The social construction of reality: A treatise in the sociology of knowledge, Garden City, NY: Anchor Books, 1966.
Google Scholar
31.Lupton, D . How does health feel? Towards research on the affective atmospheres of digital health. Digit Health. Epub ahead of print 10 April 2017. DOI: 2055207617701276.
Google Scholar
32.Pink, S, Sumartojo, S, Lupton, D. Mundane data: The routines, contingencies and accomplishments of digital living. Big Data Soc. Epub ahead of print 27 March 2017. DOI: 2053951717700924.
Google Scholar | ISI
33.Dewey, J . How we think, Lexington, MA: D.C. Heath, 1910.
Google Scholar | Crossref
34.Dyer, J . Quantified bodies. Digital Culture & Society 2016; 2: 161–168.
Google Scholar | Crossref
35.Ruckenstein, M . Uncovering everyday rhythms and patterns: Food tracking and new forms of visibility and temporality in health care. Stud Health Technol Inform 2015; 215: 28–40.
Google Scholar | Medline