by Research Team | Mar 31, 2019 | Research Publications
Author(s): Charitsis, Vassilis Abstract: The emergence and proliferation of smart sensor technologies has enabled the self-tracking of everyday life in an unprecedented manner as the logic of quantification and datafication extends to diverse aspects of life,...
by Research Team | Mar 19, 2019 | Research Publications
Author(s): B Lyall Abstract: This article uses online advertisements to gain retroactive insights into the use and disuse of wearable self-tracking technologies in everyday life. This is achieved by examining over 2700 listings for devices from manufacturers like...
by Research Team | Mar 19, 2019 | Research Publications
Author: Kaczmarek, Lukasz D. Bujacz, Aleksandra Eid, Michael Abstract: The variance in satisfaction with life can be broken down into trait- and state-like components. We ran tests to determine if a new scale for the measurement of satisfaction with life, the Steen...
by Research Team | Mar 8, 2019 | Research Publications
Author(s): Piras, Enrico Maria Abstract: Despite the growing attention of researchers, healthcare managers and policy makers, data gathering and information management practices are largely untheorized areas. In this work are presented and discussed some early-stage...
by Research Team | Mar 4, 2019 | Research Publications
Author: Hardey, Mariann (Maz) Abstract: Contributing to critical digital health research and the sociology of health consumption, this study investigates the phenomenon of self‐tracking and interpretation of consumer data via wearable technology and mobile fitness...
by Research Team | Feb 25, 2019 | Research Publications
Author(s): Izmailov, PavelPodoprikhin, DmitriiGaripov, TimurVetrov, DmitryWilson, Andrew Gordon Abstract: Deep neural networks are typically trained by optimizing a loss function with an SGD variant, in conjunction with a decaying learning rate, until convergence. We...
