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健康多媒体:基于多样观察结果的生活方式建议。

Health Multimedia: Lifestyle Recommendations Based on Diverse Observations.

作者信息

Nag Nitish, Pandey Vaibhav, Jain Ramesh

机构信息

University of California, Irvine, Irvine, USA.

出版信息

ICMR 17 (2017). 2017 Jun;2017:99-106. doi: 10.1145/3078971.3080545. Epub 2017 Jun 6.

DOI:10.1145/3078971.3080545
PMID:34263264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8276788/
Abstract

Managing health lays the core foundation to enabling quality life experiences. Modern multimedia research has enhanced the quality of experiences in fields such as entertainment, social media, and advertising; yet lags in the health domain. We are developing an approach to leverage multimedia systems for human health. Health is primarily a product of our everyday lifestyle actions, yet we have minimal health guidance on making everyday choices. Recommendations are the key to modern content consumption and decisions. Cybernetic navigation principles that integrate health media sources can power dynamic recommendations to dramatically improve our health decisions. Cybernetic components give real-time feedback on health status, while the navigational approach plots health trajectory. These two principles coalesce data to enable personalized, predictive, and precise health knowledge that can contextually disseminate the right actions to keep individuals on a path to wellness.

摘要

管理健康是实现优质生活体验的核心基础。现代多媒体研究提升了娱乐、社交媒体和广告等领域的体验质量;但在健康领域却有所滞后。我们正在开发一种利用多媒体系统促进人类健康的方法。健康主要是我们日常生活方式行为的产物,但在做出日常选择时,我们得到的健康指导却微乎其微。建议是现代内容消费和决策的关键。整合健康媒体资源的控制论导航原则能够推动动态建议,显著改善我们的健康决策。控制论组件提供健康状况的实时反馈,而导航方法则描绘健康轨迹。这两个原则结合数据,以实现个性化、预测性和精确的健康知识,从而能够根据具体情况传播正确的行动,让个人保持在健康的道路上。

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