توضیحات
ABSTRACT
A key contemporary trend emerging in big data science is the quantified self (QS)–individuals engaged in the selftracking of any kind of biological, physical, behavioral, or environmental information as n = 1 individuals or in
groups. There are opportunities for big data scientists to develop new models to support QS data collection,
integration, and analysis, and also to lead in defining open-access database resources and privacy standards for
how personal data is used. Next-generation QS applications could include tools for rendering QS data meaningful
in behavior change, establishing baselines and variability in objective metrics, applying new kinds of pattern
recognition techniques, and aggregating multiple self-tracking data streams from wearable electronics, biosensors,
mobile phones, genomic data, and cloud-based services. The long-term vision of QS activity is that of a systemic
monitoring approach where an individual’s continuous personal information climate provides real-time performance
optimization suggestions. There are some potential limitations related to QS activity—barriers to widespread
adoption and a critique regarding scientific soundness—but these may be overcome. One interesting aspect
of QS activity is that it is fundamentally a quantitative and qualitative phenomenon since it includes both the
collection of objective metrics data and the subjective experience of the impact of these data. Some of this dynamic
is being explored as the quantified self is becoming the qualified self in two new ways: by applying QS methods to
the tracking of qualitative phenomena such as mood, and by understanding that QS data collection is just the first
step in creating qualitative feedback loops for behavior change. In the long-term future, the quantified self may
become additionally transformed into the extended exoself as data quantification and self-tracking enable the
development of new sense capabilities that are not possible with ordinary senses. The individual body becomes a
more knowable, calculable, and administrable object through QS activity, and individuals have an increasingly
intimate relationship with data as it mediates the experience of reality.
INTRODUCTION
What is the quantified self?
The quantified self (QS) is any individual engaged in the self-tracking of any kind of biological, physical, behavioral, or environmental information. There is a proactive stance toward obtaining information and acting on it. A variety of areas may be tracked and analyzed, for example,weight, energy level, mood, time usage, sleep quality, health, cognitive performance, athletics, and learning strategies(Table 1) Health is an important but not exclusive focus, where objectives may range from general tracking to pathology resolution to physical and mental performance enhancement. In some sense everyone is already a self-tracker since many individualsmeasure something about themselves or have things measured about them regularly, and also because humans have innate curiosity, tinkering, and problem-solving capabilities.One of the earliest recorded examples of quantified self-tracking
is that of Sanctorius of Padua, who studied energy expenditure in living systems by tracking his weight versus food intake and elimination for 30 years in the 16th century.
Year : 2013
Publisher : MARY ANN LIEBERT
BY : Melanie Swan
File Information : English Language / 15 Page / Size : 443 K
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سال : 2013
ناشر : MARY ANN LIEBERT
کاری از : Melanie Swan
اطلاعات فایل : زبان انگلیسی / 15 صفحه / حجم : 443 K
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