Understanding quantified-selfers' practices in collecting and exploring personal data

By Eun Kyoung Choe, N. B. Lee, Bongshin Lee, Wanda Pratt, Julie A. Kientz. International Conference on Human Factors in Computing Systems, 2014

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Why we use and abandon smart devices (2015, background): “terms that have been used to refer to smart devices are personal informatics systems [16] and quantified self [5].”
Progressive Disclosure: Designing for Effective Transparency (2018, background): “Such data potentially allows users to analyze and modify their behaviors to promote well-being [15,16,37].”
Self-tracking cultures: towards a sociology of personal informatics (2014, background): “Self-tracking can help people feel more in control of their lives (Li et al. 2010; Choe et al. 2014; Nafus and Sherman, 2014; Ruckenstein 2014).”
Human-Data Interaction: The Human Face of the Data-Driven Society (2014, background): “The richness and variety of such data, however, is continually increasingly, particularly with the growing interest in lifelogging and the “Quantiﬁed Self” (Quantiﬁed Self, 2014; Rooksby et al., 2014; Choe et al., 2014; Kobsa et al., 2014).”
ORES (2019, background): “CSCW and HCI has also long studied human-in-the-loop systems [14, 37, 111], as well as explored implications of “algorithm-in-the-loop” socio-technical systems [44].”
Use and Adoption Challenges of Wearable Activity Trackers (2015, background): “Researchers have called the movement of tracking all aspects of one’s daily life Lifelogging (Sellen & Whittaker, 2010), Quantified Self (Choe et al., 2014), or Personal Informatics (Li et al.”