Quantified self-experimentation with personal health is a growing activity among health enthusiasts, biohackers, and patients with chronic conditions. By collecting and sharing their health data through self-tracking devices and health networking services, self-experimenters engage in a unique form of n=1 citizen science-style research. This data sharing altruism is constrained by limited data security, validity, and socio-economic access. We will explore these issues as design challenges. The workshop invites various stakeholders (private, corporate, non-profit, academic) to engage in a discussion and a performative prototyping of a design framework for transparent and just health self-experimentation.
|ACM CHI Conference on Human Factors in Computing Systems
|DOI - pysyväislinkit
|Julkaistu - toukok. 2017
|A4 Artikkeli konferenssijulkaisussa