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  • 1
    UID:
    gbv_1688759395
    Format: 1 Online-Ressource (x, 161 pages) , Illustrationen
    Edition: First edition
    ISBN: 9781350051416 , 9781350051393 , 1350051381
    Content: "This book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. It is funded by The Swedish Foundation for Humanities and Social Sciences. Digital self-tracking devices and data have become normal elements of everyday life. Imagining Personal Data examines the implications of the rise of body monitoring and digital self-tracking for how we inhabit, experience and imagine our everyday worlds and futures. Through a focus on how it feels to live in environments where data is emergent, present and characterized by a sense of uncertainty, the authors argue for a new interdisciplinary approach to understanding the implications of self-tracking, which attends to its past, present and possible future. Building on social science approaches, the book accounts for the concerns of scholars working in design, philosophy and human-computer interaction. It problematizes the body and senses in relation to data and tracking devices, presents an accessible analytical account of the sensory and affective experiences of self-tracking, and questions the status of big data. In doing so it proposes an agenda for future research and design that puts people at its centre."--
    Content: List of Figures Acknowledgements -- Prologue 1. Self-Tracking in the World -- 2. Encountering the Temporalities and Imaginaries of Personal Data -- 3. Ubiquitous Monitoring Technologies in Historical Perspective 4. Algorithmic Imaginations 5. Traces through the Present 6. Anticipatory Data Worlds 7. Personal Data Futures -- Notes Bibliography -- Index
    Note: Abstract freely available; full-text restricted to individual document purchasers
    Additional Edition: ISBN 9781350051386
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-1-350-05138-6
    Language: English
    Keywords: Big Data ; Mensch-Maschine-Kommunikation ; Electronic books ; Aufsatzsammlung
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