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Self Tracking
Venture Labor
Surviving the New Economy

Using Social Comparisons to Facilitate Healthier Choices

This exploratory research examines how we might nudge consumers towards making healthier food choices in online grocery shopping or other digitally mediated food consumption contexts. Our pilot study investigated how different forms of social comparisons could be used to encourage consumers to reduce the number of calories contained in their online grocery basket. Our findings show that participants who were less interested in trying new diets were more willing to reduce calories when presented with a comparison to people unlike them, an out-group member comparison, while those who were interested in trying new diets were more willing to reduce calories regardless of social comparison type. These findings imply that one size does not fit all when nudging. More research is needed to see how social comparisons influence the effectiveness of digital health behavior projects.

DiCosola, Blake & Gina Neff. 2020. “Using Social Comparisons to Facilitate Healthier Choices in Online Grocery Shopping Contexts.” CHI 2020, April 25–30, 2020, Honolulu, HI, USA. https://doi.org/10.1145/3334480.3382877

Technologies for Sharing: lessons from Quantified Self about the political economy of platforms

Quantified Self (QS) is a group that coordinates a global set of in-person meetings for sharing personal experiences and experiments with self-tracking behaviours, moods, and activities. Through participation in US-based QS events and watching online QS presentations from around the globe, we identify a function of ambiguous valuation for supporting sharing communities. Drawing on Stark’s (2011) theory of heterarchy, we argue that the social and technical platforms supporting sharing within the QS community allow for multiple, sometimes conflicting, sets of community and commercial values. Community cohesion benefits from ambiguity over which values set is most important to QS members. Ambiguity is promoted by sharing practices through at least two means, the narrative structure of members’ presentations, and what counts as tracking. By encouraging members to adhere to a three-question outline, the community ensures that multiple values are always present. Thus, it becomes a question of which values this sharing community emphasizes, not which value sets members present, at any given time. By leaving the tools and methods of tracking open − from sophisticated wearables and data analysis to pen-and-paper and storytelling − the community creates space for and embraces self-trackers with a broad spectrum of technological proficiency and interest. QS as a group capitalizes on circulation of knowledge valued somewhat ambiguously to sustain and grow the community, both encouraging and supporting the commercialization of self-tracking technologies while keeping technology developer interests from overwhelming community-building interests. This, we argue, has implications for researchers hoping to understand online communities and the ‘sharing economy’ more generally.

Kristen Barta & Gina Neff. (2015). Technologies for Sharing: lessons from Quantified Self about the political economy of platforms. Information, Communication & Society. DOI:10.1080/1369118X.2015.1118520

Self-Tracking

People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others.

Neff and Nafus consider what’s at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.

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