Collaborative Society by Dariusz Jemielniak & Aleksandra Przegalinska
Author:Dariusz Jemielniak & Aleksandra Przegalinska [Jemielniak, Dariusz & Przegalinska, Aleksandra]
Language: eng
Format: epub
Publisher: MIT Press
Published: 2020-02-14T00:00:00+00:00
The collaborative component of wearable devices (for the most part) constitutes their usability and appeal.
Quantified Self and Quantified Others
Quantified self-tracking first appeared in the health sector and then moved to recreational sports and wellness, where the technology became mainstream. Biomarker testing and health metric tracking was once an expensive one-off process traditionally ordered by physicians for patients in response to specific medical risks. Two of the biggest applications of doctor-driven health metric tracking have been cardiac monitoring and telemedicine (remote diagnosis), in which implantable, worn, or handheld devices wirelessly transmit data to medical professionals.23,24 A number of different initiatives now attempt to facilitate collaborative health monitoring, including the emergence of internet-based social networking communities and newly available low-cost technologies like genome sequencing and biomonitoring applications and devices. The Human Genome Project would be impossible without the data sharing of anonymous donors and biomonitoring. Moreover, some of the routine services and monitoring processes related to the collection of patient biodata—conventionally conducted at clinical sites—have been successfully delegated to individual remote monitoring systems outside the clinical environment. This obviously reduced healthcare costs, but also encouraged nonexpert communities to undertake biomonitoring efforts by themselves. Yet another interesting layer of this process concerns how the demand for genetic information to satisfy personal curiosity, augment clinical care, and enable vital research increases the pool of information that data companies can benefit from.25 In fact, data custodians push for wider access to biomonitoring and genetic testing because they can monetize the data, whether by selling to businesses or other profit-seeking organization. This is not exactly the collaborative data sharing access we were emphasizing before, but it is a great incentive to those that mainstream and enable data sharing.
Quantified Self (QS) is the term that “embodies self-knowledge through self-tracking.”26 QS practices a different approach to the so-called n = 1 studies (clinical trials or research in which a single patient is the entire trial, the single case study). In the past, n equaled a “someone else” whose data could be applied to represent the population average, but that has changed dramatically with the advent of personalized tracking where n equals “me” (the user). Although most of the commercially available tracking devices primarily measure individual progress indicators, their added value is unveiled precisely when they become tools for collaboration with others. Obviously, these two tracking functions—individual and community—are interdependent and often difficult to separate. Many individuals use wearable devices, but the most engaged usually join already existing self-tracking communities or establish new ones. Several interest groups such as Quantified Self, HomeCamp, DIYgenomics, and PatientsLikeMe have formed since 2008 to explore, brainstorm, and share their self-tracking experiences.
According to the online and offline declarations of QS members, the ultimate goal of these communities is to smoothly integrate the technology of human body tracking with the daily lives of individual users, the goal being to gain and benefit from personal self-knowledge. In this context, the human body becomes the central element of human-computer interaction by moving away from desktop applications toward mobile and wearable ones.
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