Personal tracking as lived informatics

By J. Rooksby, Mattias Rost, Alistair Morrison, Matthew Chalmers. International Conference on Human Factors in Computing Systems, 2014

718 citations recorded by the source corpus.

Subfields: Demography, General Health Professions, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/690fd6f23897410ea648461daa157e4ff85836ff

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In Demography

In General Health Professions

In Human-Computer Interaction

Citations in the corpus

Examining Menstrual Tracking to Inform the Design of Personal Informatics Tools (2017, background): “The tracked menstrual cycle data informs decisions in women’s everyday lives, echoing the lived experience of tracking [35].”
Seeing Ourselves Through Technology: How We Use Selfies, Blogs and Wearable Devices to See and Shape Ourselves (2014, background): “As I discussed in chapter 5, studies have found that people develop ‘affective ties’ to the data they track (Oxlund 2012, 50; Ruckenstein 2014; Rooksby et al. 2014), just as our diaries, blogs, selfies and family photo albums are meaningful to us.”
Why we use and abandon smart devices (2015, background): “that posit, “to track over the short term is not necessarily to give up or fail” [21].”
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).”
Use and Adoption Challenges of Wearable Activity Trackers (2015, background): “Rooksby et al. (2014) studied personal tracking practices and found that tracking information is often used and interpreted with reference to daily or short-term goals.”
No longer wearing: investigating the abandonment of personal health-tracking technologies on craigslist (2015, background): “HCI research on self-tracking has made great strides towards understanding the motivations that lead individuals to adopt novel sensing technologies into their daily lives [6, 38].”
A lived informatics model of personal informatics (2015, background): “The pervasiveness of self-tracking tools has led researchers to study people’s use of commercial tools for tracking location [24,30], finances [20], food [11], weight [19,25], and physical activity [16,34] and to develop research prototypes to expand our understanding of usage [3,8,12,40].”
Self-tracking cultures: towards a sociology of personal informatics (2014, background): “This research has been valuable in identifying such factors as the personal benefits and rewards that people gain from engaging in self-tracking and the reasons why people take up, discard or continue these practices (Kamal et al., 2010; Li et al., 2010; Li et al., 2011; MacLeod et al., 2013; Rooksb”