智能扬声器，计算健康的下一个前沿
Smart Speakers, the Next Frontier in Computational Health
摘要：
智能扬声器的快速传播和采用为改善人类健康提供了大量机会。正如手机的引入带来了相当大的健康创新一样，智能扬声器计算系统具有几个独特的优势，有可能催化新的健康研究领域，特别是在医院外的环境中。这些智能计算系统最近的兴起和普及具有显著的潜力，可用于加强慢性病管理，实现对无人目睹的医疗紧急情况的被动识别，检测人类行为和认知的微妙变化，限制隔离，并可能允许对影响公共健康的呼吸道疾病进行广泛，被动，远程监测。智能扬声器如何与人互动以改善健康有3种广泛的机制。这些包括（i）作为智能对话代理，（ii）医学相关诊断声音的被动识别器，以及（iii）使用设备的内部硬件来测量生理参数的主动感测，例如使用主动声纳、雷达或计算机视觉。这些不同的模式中的每一种都有特定的临床用例，所有这些都需要与潜在的隐私问题、与系统访问相关的公平性以及尚未为这种独特类型的被动数据汇集开发的监管框架进行平衡。
英文摘要：
The rapid dissemination and adoption of smart speakers has enabled substantial opportunities to improve human health. Just as the introduction of the mobile phone led to considerable health innovation, smart speaker computing systems carry several unique advantages that have the potential to catalyze new fields of health research, particularly in out-of-hospital environments. The recent rise and ubiquity of these smart computing systems hold significant potential for enhancing chronic disease management, enabling passive identification of unwitnessed medical emergencies, detecting subtle changes in human behavior and cognition, limiting isolation, and potentially allowing widespread, passive, remote monitoring of respiratory diseases that impact the public health. There are 3 broad mechanisms for how a smart speaker can interact with a person to improve health. These include (i) as an intelligent conversational agent, (ii) a passive identifier of medically relevant diagnostic sounds and (iii) active sensing using the device's internal hardware to measure physiologic parameters, such as with active sonar, radar or computer vision. Each of these different modalities have specific clinical use cases, all of which need to be balanced against potential privacy concerns, equity related to system access and regulatory frameworks which have not yet been developed for this unique type of passive data collection.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
