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Natural Language Interpretation and Improvement Advice for Indoor Air Quality to Assist with Self-Management of Respiratory Conditions

Natural Language Interpretation and Improvement Advice for Indoor Air Quality to Assist with Self-Management of Respiratory Conditions
针对室内空气质量的自然语言解释和改善建议,以协助呼吸系统疾病的自我管理
批准号:
10043360
负责人:
金额:
$6.34万
依托单位:
依托单位国家:
英国
项目类别:
Grant for R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
糟糕的空气质量可能是对健康的主要环境风险。世界银行估计,2019年空气污染给世界造成了8.1万亿美元的损失。2013年2月,Ella Kissi-Debrah的死亡被裁定为空气污染造成的,这是公众认识到空气污染危险的转折点。伦敦南区验尸官菲利普·巴洛表示,埃拉的死亡原因是急性呼吸衰竭、严重哮喘和暴露在空气污染中。埃拉是英国第一个将空气污染列为死因的人。如果她没有在不知情的情况下暴露在污染物中,她的死亡很有可能是可以避免的。污染的空气对患有哮喘和其他慢性呼吸道疾病的人来说是一个特别危险的因素。在英国,约有800万人被诊断为哮喘,约1200万人患有慢性呼吸道疾病。由于他们的脆弱性,他们需要管理他们的条件,以确保他们避免暴露在糟糕的空气质量中,并降低恶化的风险。在我们的项目中,室内空气质量的自然语言解释和改善建议帮助自我管理呼吸条件,我们将开发语音用户界面(VUI)与Alexa对话式AI(人工智能),用于环境物联网,监测室内和室外空气质量。其目标是帮助患有慢性呼吸道疾病的人保持安全,了解他们周围的空气质量,向他们发送早期预警,并鼓励他们在必要时采取预防措施和行动。VUI和对话式人工智能为我们与计算机和其他智能设备的日常互动提供了巨大的进步。与菜单、触摸屏或鼠标点击不同,使用我们的语音进行对话是最自然、最轻松的交流方式之一。无需学习新技能即可处理新的智能设备或新的移动应用程序。这对于通常拥有非常基本的数字技能的老年人来说尤其有益。VUI使与应用程序的交互更容易、更快、更具娱乐性。用户只需简单地说:“Alexa,我现在屋内的空气质量如何?”“我能做些什么来改善它?”接收带有信息和建议的语音回复。它还使使用用户语音收集用户反馈比要求他们填写屏幕表单更容易。我们计划以订阅的方式向最终用户提供它,空气质量即服务(AQaaS),以降低技术采用的进入门槛。
英文摘要
Poor air quality can is the leading environmental risk to health. World Bank estimated that air pollutions cost the world $8.1 trillion in 2019\.The turning point in public recognition of air pollutions danger happened when Ella Kissi-Debrah death in February 2013 was ruled due to air pollutions. Philip Barlow, the inner south London coroner, said Ella's death was caused by acute respiratory failure, severe asthma and air pollution exposure. Ella is the first person in the UK to have air pollution listed as a cause of death. There is high chance her death was avoidable if she was not exposed unknowingly to pollutants.Polluted air is a particular risk for people suffering from Asthma and other chronic respiratory conditions. There are around 8M people in the UK who were diagnosed with asthma and around 12M of people with chronic respiratory conditions. Due to their vulnerability they need to manage their conditions to make sure they avoid exposure to poor air quality and reduce risk of exacerbations.During our project Natural Language Interpretation and Improvement Advice for Indoor Air Quality to Assist with Self-Management of Respiratory Conditions we will develop Voice User Interface (VUI) with Alexa Conversational AI (Artificial Intelligence) for environmental IoT which monitors both indoor and outdoor air quality. The objective is to help people with chronic respiratory conditions to stay safe and be aware of air quality around them, send them early warning and encourage to take precautions and actions when necessary.VUI and Conversational AI provides a huge advancement in our daily interaction with computers and other smart devices. Unlike menus, touchscreens, or mouse clicks, using our voices to have conversations is one of the most natural and effortless ways to communicate. There is no requirements to learn new skills to handle new smart device or new mobile application. This is especially beneficial for elderly who often have very basic digital skills.VUI makes interaction with application easier, faster and more entertaining. User can simply say, "Alexa, what is my air quality inside the house now?" "What can I do to improve it?" to receive voice replies with information and advice. It also makes easier to collect user feedback using their voice rather than asking them to fill screen forms.We plan to offer it to end users on a subscription basis, Air Quality as a Service (AQaaS) to lower entry barriers for technology adoption.
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