@inproceedings{2adced9ecf1441f582609d02ef0a8239,
title = "Digital health & self-experimentation: Design challenges & provocations",
abstract = "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 socioeconomic 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.",
keywords = "Citizen science, Digital health, Quantified self, Self-experimentation, Self-tracking",
author = "Mark{\'e}ta Dolej{\v s}ov{\'a} and Denisa Kera and Cristiano Storni and Khot, {Rohit Ashok} and Clement, {Ivan John} and Inka Pavelka and Puneet Kishor",
note = "Publisher Copyright: Copyright {\textcopyright} 2017 by the Association for Computing Machinery, Inc. (ACM).; 2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 ; Conference date: 06-05-2017 Through 11-05-2017",
year = "2017",
month = may,
day = "6",
doi = "https://doi.org/10.1145/3027063.3027071",
language = "الإنجليزيّة",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "510--517",
booktitle = "CHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems",
}