Digital Health & Self-experimentation: Design Challenges & Provocations

Marketa Dolejsova, Denisa Kera, Cristiano Storni, Rohit Ashok Khot, Ivan John Clement, Inka Pavelka, Puneet Kishor

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

8 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationACM CHI Conference on Human Factors in Computing Systems
Publication statusPublished - May 2017
MoE publication typeA4 Conference publication


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