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In this chapter, we draw on our study involving interviews with Australians who identify as current self-trackers to discuss why and how they monitor themselves. Our approach for analysing self-tracking practices is based on a sociomaterial perspective, viewing enactments of voluntary self-tracking as shifting heterogeneous assemblages, bringing together diverse actors who are both human and non-human. We use vignettes to illustrate the ways in which our participants enacted self-tracking and to identify some of the diverse meanings and motivations that mediate decisions to self-track and resultant uses of the information thus generated. We found that a varied range of self-tracking practices were taken up by our interviewees, including not only digital devices and methods, but also recording their details using pen-and-paper, or simply maintaining mental awareness and using memory. We identified several agential capacities in our participants’ accounts of why and how they monitor themselves. These capacities are interrelated, but can be loosely grouped under the headings of ‘self-improvement’, ‘exerting control’ and ‘identifying patterns and achieving goals’. They are motivators and facilitators of monitoring practices. The broader sociocultural contexts in which monitoring of the body/self is undertaken were also revealed in the participants’ accounts. These include ideas about the moral virtues of self-responsibility and the individual management of life circumstances to avoid chaos and risk, and the notion that monitoring practices can successfully achieve these virtues.

The debate concerning the Quantified-Self Movement (QS) has been extremely polarised. As Tamar Sharon has pointed out, each aspect of the lifestyle promoted by Gary Wolf and Kevin Kelly has provoked opposite reactions, generating a debate that revolves around some basic conceptual dichotomies: empowerment versus surveillance, self-awareness versus reductionism, and personalised healthcare versus disintegration of public assistance (Sharon, 2017). The aim of this chapter is to provide a critique of QS, namely an assessment of its limits and its (technological and social) conditions of possibility. In particular, the author’s analysis will focus on the relationship between technology and subjectivity, and its main theoretical framework will be Michel Foucault’s research on the notion of ‘care for the self’ (Foucault, 1986, 2005). Quantification is an essential and unescapable aspect of our present technological environment. The devices that make our onlife (Floridi, 2014) possible are connected with a complex technological system made of GPSs, satellites, computers, and networks. Health is no longer managed through a distinct set of practices within the limits of a well-defined space (the hospital or the ambulatory), but it rather becomes a dataset integrated into a system where all aspects of life (health, law, leisure, work, social relations) are treated and managed simultaneously. This technological condition implies a new form of cognitive and practical delegation (Ippolita, 2016; Morozov, 2013), which makes the very notion of ‘self-tracking’ at least problematic. Individuals do not track themselves anymore: on the contrary, they are tracked by prosthetic extensions of their own bodies. This, however, does not mean that they do nothing. Our digital devices require a specific set of practices, a determinate way of life. The author will argue that these practices are the product of design, understood as a specific way of conceiving and organising the interaction between subject and technical object (Flusser, 1999). Through our technological environment, design reshapes the social and political function of bodies, their interaction and the set of practices connected to them (Bratton, 2015; Dyer, 2016; Vial, 2014). Automated quantification is an aspect of our designed user experience. As such, this chapter discusses design as a key element to understand the role of quantification in our digital milieu. It analyses the QS movement as a specific way of responding to our new technological condition. The main research question will be the following: is QS to be regarded as a simple acceptance of a new form of delegated – and thus alienated – subjectivity, or is it a kind of practice that allows the subject to overcome his passivity, and to take part in the process through which quantification is designed and managed? Is it possible to understand QS as a technology of the self (Foucault, 1988, 2005)?

Nowadays there are many digital tools and mediatised ways for self-tracking for the sake of gaining self-knowledge through numbers. In his recent book ‘Resonance’, Hartmut Rosa suggests that artefacts can indeed resonate with people (Rosa, 2016, p. 381ff.) by affecting emotion, intrinsic interests and self-efficacy expectations. In contrast, Rosa characterises self-tracking as an attempt to measure the resource potential of individuals, confounding it with the good life itself (Rosa, 2016, p. 47). That is why we want to challenge Rosa’s concept of a good life and enhance the assertion of individual and social practices that can generate resonance.

With several case studies, we want to study empirically how people ‘resonate’ (or not) with and in self-tracking practices and to which degree Rosa’s hypothesis is verifiable or not. By empirically contrasting the quantifying practices and metric culture of self-tracking with the recently emerging sociological field of ‘world relationships’ and ‘resonance’, new insights on the embedding of the quantified with the qualified self will be gained.

Self-tracking is becoming a prominent and ubiquitous feature in contemporary practices of health and wellness management. Over the last few years, we have witnessed a rapid development in digital tracking devices, apps and platforms, together with the emergence of health movements such as the Quantified Self. As the world is becoming increasingly ruled by metrics and data, we are becoming ever more reliant on technologies of tracking and measurement to manage and evaluate various spheres of our lives including work, leisure, performance, and health. This chapter begins with a brief outline of some of the key theoretical approaches that have been informing the scholarly debates on the rise of self-tracking. The chapter then moves on to discuss at length the findings of an international survey study conducted by the author with users of self-tracking technologies to discuss the ways in which they perceive and experience these practices, and the various rationales behind their adoption of self-tracking in the first place. The chapter also addresses participants’ attitudes towards issues of privacy and data sharing and protection which seem to be dominated by a lack of concern regarding the use and sharing of self-tracking data with third parties. Some of the overarching sentiments vis-à-vis these issues can be roughly categorised according to feelings of ‘trust’ towards companies and how they handle data, a sense of ‘resignation’ in the face of what is perceived as an all-encompassing and ubiquitous data use, feelings of ‘self-insignificance’ which translates into the belief that one’s data is of no value to others, and the familiar expression of ‘the innocent have nothing to hide’. Overall, this chapter highlights the benefits and risks of self-tracking practices as experienced and articulated by the participants, while providing a critical reflection on the rise of personal metrics and the culture of measurement and quantification.

The purpose of this article is to examine the ways in which self-tracking data have meaning and value in and after the life of the creator, including how such data could become part of the larger historical record, curated in an institutional archive. In doing so, the article expands upon existing shared interests among researchers working in the areas of self-tracking, human–computer interaction and archival science.

A total of 18 people who had self-tracked for six months or more were recruited for the study. Participants completed a survey which gathered demographic data and characteristics vis-à-vis their self-tracking behavior. In-person semi-structured interviews were then conducted to ascertain the beliefs of the participants regarding the long-term use and value of personal quantified-self data.

The findings reveal the value that people place on self-tracking data, their thoughts on proper modes for accessing their archive once it moves from the private to the public space, and how to provide fidelity within the system such that their experiences are represented while also enabling meaning making on the part of subsequent users of the archive.

Today’s quantified-self data are generally embedded in systems that create a pipeline from the individual source to that of the corporate warehouse, bent on absorbing and extracting insight from a totality of big data. This article posits that new opportunities for knowing and for design can be revealed when a public interest rationale is appended to rich personalized collections of small data.

This chapter provides an insider perspective on the Quantified Self (QS) community. It is argued that the overall approach and methods used in the QS community have not been adequately described. Consequently, the aim of the chapter is to give an account of the work performed by self-trackers in what we coin the 1-Person-Laboratory (1PL). Additionally, the chapter describes other aspects of the 1PL, for example the methods, procedures and instrumentation that are being used and the knowledge sharing taking place in the QS community. With a point of departure in empirical cases it is demonstrated how QS self-trackers put their own questions, observations and subjective experience front and centre by using their own instrumentation and data sets in their personal laboratories. In the 1PL, the causalities that are looked for are not aimed at generalisation to an entire population; on the contrary, the causal connections on the level of the person are essential for discovery by the individual.

This paper aims to fill this gap (infra, originality) by providing a conceptual framework for discussing “technologies of the self and other,” by showing that, in most cases, self-tracking also involves other-tracking.

In so doing, we draw upon Foucault’s “technologies of the self” and present-day literature on self-tracking technologies. We elaborate on two cases and practical domains to illustrate and discuss this mutual process: first, the quantified workplace; and second, quantification by wearables in a non-clinical and self-initiated context.

The main conclusion is that these shapings are never (morally) neutral and have ethical implications, such as regarding “quantified otherness,” a notion we propose to point at the risk that the other could become an object of examination and competition.

Although there is ample literature on the quantified self, considerably less attention is given to how the relation with the other is being shaped by self-tracking technologies that allow data sharing (e.g. wearables or apps such as Strava or RunKeeper).