THE QUANTIFIED SELF: Fundamental Disruption in Big Data Science and Biological Discovery
THE QUANTIFIED SELF: Fundamental Disruption in Big Data Science and Biological Discovery
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DOI：
10.1089/big.2012.0002
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发表时间：
2013-06-01
期刊：
影响因子：
4.6
通讯作者：
Swan, Melanie
中科院分区：
文献类型：
--
作者：
Swan, Melanie
当代大数据科学中出现的一个关键趋势是量化自我(QS)--作为n=1个人或群体，从事任何类型的生物、物理、行为或环境信息的自我跟踪的个人。大数据科学家有机会开发新的模型来支持QS数据收集、集成和分析，还可以领导定义开放访问数据库资源和如何使用个人数据的隐私标准。下一代QS应用程序可能包括工具，用于使QS数据在行为变化中具有意义，建立目标指标的基线和可变性，应用新型模式识别技术，以及聚合来自可穿戴电子产品、生物传感器、手机、基因组数据和基于云的服务的多个自我跟踪数据流。QS活动的长期愿景是一种系统的监测方法，其中个人持续的个人信息环境提供实时的绩效优化建议。有一些与QS活动相关的潜在限制--广泛采用的障碍和对科学合理性的批评--但这些都是可以克服的。QS活动的一个有趣方面是，它从根本上是一种定量和定性的现象，因为它既包括客观指标数据的收集，也包括对这些数据影响的主观体验。随着量化的自我以两种新的方式成为合格的自我，人们正在探索其中的一些动态：通过将QS方法应用于跟踪情绪等定性现象，以及理解QS数据收集只是为行为变化创建定性反馈循环的第一步。在长期的未来，量化的自我可能会额外转变为扩展的外部自我，因为数据量化和自我跟踪使新的感觉能力得以发展，这是普通感觉无法实现的。通过QS活动，个体身体变得更加可知、可计算和可管理的对象，个人与数据的关系日益密切，因为它调解了现实的经验。
A key contemporary trend emerging in big data science is the quantified self (QS)-individuals engaged in the self-tracking 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.