Harnessing digital phenotyping to deliver real-time interventional bio-feedback
Harnessing digital phenotyping to deliver real-time interventional bio-feedback
复制标题
利用数字表型提供实时介入生物反馈
DOI：
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发表时间：
2019
期刊：
影响因子：
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通讯作者：
C. Sas
中科院分区：
文献类型：
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作者：
Kieran Woodward;E. Kanjo;Muhammad Umair;C. Sas
随着传感器和移动技术成本的降低和功能的增强，以及来自社交媒体、周围环境和其他来源的数据的激增，数字预测和福祉技术量化的新概念正在出现。这些概念称为数字表型。这些技术开发面临的主要挑战之一是设计易于使用和个性化的设备，这些设备通过利用实时设备处理来受益于干预反馈。为福祉而设计的有形界面能够减少焦虑或控制恐慌发作，从而提高普通大众和社会弱势群体的生活质量。实时生物反馈与人工智能 (AI) 相结合，为推断心理健康提供了新的机会，从而可以自动应用个性化的干预反馈。这项研究探索了生物反馈的未来方向，包括融合多种人工智能支持的反馈机制的机会，然后可以集体或单独利用这些机制。
With the decreasing cost and increasing capability of sensor and mobile technology along with the proliferation of data from social media, ambient environment and other sources, new concepts for digital prognostic and technological quantification of well-being are emerging. These concepts are referred to as digital phenotyping. One of the main challenges facing the development of these technologies is the design of easy to use and personalised devices which benefit from interventional feedback by leveraging on-device processing in real-time. Tangible interfaces designed for well-being possess the capabilities to reduce anxiety or manage panic attacks, thus improving the quality of life for both the general population and vulnerable members of society. Real-time biofeedback paired with Artificial Intelligence (AI) presents new opportunities for mental well-being to be inferred allowing individually personalised interventional feedback to be automatically applied. This research explores future directions for bio-feedback including the opportunity to fuse multiple AI enabled feedback mechanisms that can then be utilised collectively or individually.
影响因子：
4.6
作者：
Joormann, Jutta;Siemer, Matthias;Gotlib, Ian H.
通讯作者：
Gotlib, Ian H.