運算都市生活: 數據實踐與日常生活的轉化

The popularity of wearable technologies and the enthusiasm around quantified self and lifelogging movements have encouraged the collection of personal data in comprehensive, objective, and sustained ways for computing urban life. In light of these emergent data practices, this paper explores and critically reflects upon how such practices are undertaken and what consequences they engender. Most studies in the literature concerned with quantified self and lifelogging have focused their discussion on the practices of knowing, the sociomaterial contexts of knowledge practices, or the political economic consequences of such modes of knowing. The paper thus proposes to understand data practices as an ontogenetic process and analyzes their transduction of everyday life. The paper is based on the research conducted in Dublin and Boston between 2014 and 2016. Building on this empirical research, I demonstrate how wearable technologies and wearers of related products attempt to reconfigure each other when transforming life into data and how this process unexpectedly and unevenly transduces ways in which everyday life is undertaken. What this process has achieved then is not a complete translation of everyday life into data; rather, the parts of life that are easier to record receive more attention and the data about them become enriched and expanded, at the expense of others that are difficult for computing logic to work with. Such uncertain and uneven processes of transduction can complicate any claims and sociotechnical imaginaries of a complete translation of everyday life into data and the computing of such data for engineering better societal futures.