Fitness APIs as Health Data Superstructures

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Fitness APIs as Health Data Superstructures

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Publication Conference other
Title Fitness APIs as Health Data Superstructures
Author Berg, Martin
Date 2016
English abstract
Wearable health technologies and fitness apps are increasingly interconnected through APIs (application programming interface) through which data from sensors are transferred, translated and interpreted. This paper builds on a close critical reading of the technical documentation of some of the most popular fitness APIs (Apple HealthKit, Fitbit, HealthGraph and Withings among others) and aims at establishing an understanding of how human bodies and their activities are conceptualised and measured as data through APIs. Departing from these empirical readings, the paper conceptualises fitness APIs as “health data superstructures” that to various extents render certain self-tracking and body-monitoring practices more feasible than others. Such a conceptualisation is important since it allows for further explorations of the limits and possibilities of how wearable technologies are designed, developed and used in conjunction with other apps and technologies.
Conference
Crossroads in Cultural Studies (14-17 December, 2016 : Sydney, Australia)
Language eng (iso)
Subject Humanities/Social Sciences
Research Subject Categories::SOCIAL SCIENCES
Research Subject Categories::TECHNOLOGY
Research Subject Categories::INTERDISCIPLINARY RESEARCH AREAS
Handle http://hdl.handle.net/2043/21730 Permalink to this page
Link http://crossroads2016.org... (external link to related web page)
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