The Quantified Self

Download or read book The Quantified Self written by Deborah Lupton and published by John Wiley & Sons. This book was released on 2016-09-07 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Laboring Bodies and the Quantified Self written by Ulfried Reichardt and published by transcript Verlag. This book was released on 2020-10-31 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Learning for the Quantified Self written by Mark Hoogendoorn and published by Springer. This book was released on 2017-09-28 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Self-Tracking written by Gina Neff and published by MIT Press. This book was released on 2016-06-24 with total page 247 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Quantified Self in Precarity written by Phoebe V. Moore and published by Routledge. This book was released on 2017-09-11 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book The Politics and Possibilities of Self-Tracking Technology written by Suneel Jethani and published by Emerald Group Publishing. This book was released on 2021-06-18 with total page 181 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Self-Tracking written by Btihaj Ajana and published by Springer. This book was released on 2017-10-01 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an empirical and philosophical investigation of self-tracking practices. In recent years, there has been an explosion of apps and devices that enable the data capturing and monitoring of everyday activities, behaviours and habits. Encouraged by movements such as the Quantified Self, a growing number of people are embracing this culture of quantification and tracking in the spirit of improving their health and wellbeing. The aim of this book is to enhance understanding of this fast-growing trend, bringing together scholars who are working at the forefront of the critical study of self-tracking practices. Each chapter provides a different conceptual lens through which one can examine these practices, while grounding the discussion in relevant empirical examples. From phenomenology to discourse analysis, from questions of identity, privacy and agency to issues of surveillance and tracking at the workplace, this edited collection takes on a wide, and yet focused, approach to the timely topic of self-tracking. It constitutes a useful companion for scholars, students and everyday users interested in the Quantified Self phenomenon.