With the advent of digital devices and software, self-tracking practices have gained new adherents and have spread into a wide array of social domains. The Quantified Self movement has emerged to promote 'self-knowledge through numbers'. In this groundbreaking book Deborah Lupton critically analyses the social, cultural and political dimensions of contemporary self-tracking and identifies the concepts of selfhood and human embodiment and the value of the data that underpin them. The book incorporates discussion of the consolations and frustrations of self-tracking, as well as about the proliferating ways in which people's personal data are now used beyond their private rationales. Lupton outlines how the information that is generated through self-tracking is taken up and repurposed for commercial, governmental, managerial and research purposes. In the relationship between personal data practices and big data politics, the implications of self-tracking are becoming ever more crucial.

The body has become central to practices of self-tracking. By focusing on the relations between quantification, the body, and labor, this volume sheds light on the ways in which discourses on data collection and versions of the ›corporate self‹ are instrumental in redefining concepts of labor, including notions of immaterial and free labor in an increasingly virtual work environment. The contributions explore the functions of quantification in conceptualizing the body as a laboring body and examine how quantification contributes to disciplining the body. By doing so, they also inquire how practices of self-tracking, self-monitoring, and self-optimization have evolved historically.

This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in general, making it useful for a wider audience. Discussing concepts drawn from from state-of-the-art scientific literature, it illustrates the approaches using a case study of a rich self-tracking data set. Self-tracking has become part of the modern lifestyle, and the amount of data generated by these devices is so overwhelming that it is difficult to obtain useful insights from it. Luckily, in the domain of artificial intelligence there are techniques that can help out: machine-learning approaches allow this type of data to be analyzed. While there are ample books that explain machine-learning techniques, self-tracking data comes with its own difficulties that require dedicated techniques such as learning over time and across users.

What happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking. People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.

Humans are accustomed to being tool bearers, but what happens when machines become tool bearers, calculating human labour via the use of big data and people analytics by metrics? The Quantified Self in Precarity highlights how, whether it be in insecure ‘gig’ work or office work, such digitalisation is not an inevitable process – nor is it one that necessarily improves working conditions. Indeed, through unique research and empirical data, Moore demonstrates how workplace quantification leads to high turnover rates, workplace rationalisation and worker stress and anxiety, with these issues linked to increased rates of subjective and objective precarity. Scientific management asked us to be efficient. Now, we are asked to be agile. But what does this mean for the everyday lives we lead? With a fresh perspective on how technology and the use of technology for management and self-management changes the ‘quantified’, precarious workplace today, The Quantified Self in Precarity will appeal to undergraduate and postgraduate students interested in fields such as Science and Technology, Organisation Management, Sociology and Politics.

How sharing the mundane details of daily life did not start with Facebook, Twitter, and YouTube but with pocket diaries, photo albums, and baby books. Social critiques argue that social media have made us narcissistic, that Facebook, Twitter, Instagram, and YouTube are all vehicles for me-promotion. In The Qualified Self, Lee Humphreys offers a different view. She shows that sharing the mundane details of our lives—what we ate for lunch, where we went on vacation, who dropped in for a visit—didn't begin with mobile devices and social media. People have used media to catalog and share their lives for several centuries. Pocket diaries, photo albums, and baby books are the predigital precursors of today's digital and mobile platforms for posting text and images. The ability to take selfies has not turned us into needy narcissists; it's part of a longer story about how people account for everyday life. Humphreys refers to diaries in which eighteenth-century daily life is documented with the brevity and precision of a tweet, and cites a nineteenth-century travel diary in which a young woman complains that her breakfast didn't agree with her. Diaries, Humphreys explains, were often written to be shared with family and friends. Pocket diaries were as mobile as smartphones, allowing the diarist to record life in real time. Humphreys calls this chronicling, in both digital and nondigital forms, media accounting. The sense of self that emerges from media accounting is not the purely statistics-driven “quantified self,” but the more well-rounded qualified self. We come to understand ourselves in a new way through the representations of ourselves that we create to be consumed.

The Politics and Possibilities of Self-Tracking Technology focuses on the dialectical relationship between users and designers of wearable technology to examine how datafication processes redefine the body, and explores what this means for the design, administration and study of self-tracking systems.