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伦理与生物医学工程促进福祉:远程监测与支持服务的共创研究。

Ethics and biomedical engineering for well-being: a cocreation study of remote services for monitoring and support.

机构信息

School of Engineering, University of Warwick, Coventry, CV4 7AL, UK.

Università di Cagliari, Via Università 40, 09124, Cagliari, Italy.

出版信息

Sci Rep. 2023 Aug 31;13(1):14322. doi: 10.1038/s41598-023-39834-8.

DOI:10.1038/s41598-023-39834-8
PMID:37652901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10471689/
Abstract

The well-being of students and staff directly affects their output and efficiency. This study presents the results of two focus groups conducted in 2022 within a two-phase project led by the Applied Biomedical and Signal Processing Intelligent e-Health Lab, School of Engineering at the University of Warwick, and British Telecom within "The Connected Campus: University of Warwick case study" program. The first phase, by involving staff and students at the University of Warwick, aimed at collecting preliminary information for the subsequent second phase, about the feasibility of the use of Artificial Intelligence and Internet of Things for well-being support on Campus. The main findings of this first phase are interesting technological suggestions from real users. The users helped in the design of the scenarios and in the selection of the key enabling technologies which they considered as the most relevant, useful and acceptable to support and improve well-being on Campus. These results will inform future services to design and implement technologies for monitoring and supporting well-being, such as hybrid, minimal and even intrusive (implantable) solutions. The user-driven co-design of such services, leveraging the use of wearable devices and Artificial Intelligence deployment will increase their acceptability by the users.

摘要

学生和教职员工的福祉直接影响他们的产出和效率。本研究介绍了 2022 年在沃里克大学工程学院应用生物医学和信号处理智能电子健康实验室以及英国电信公司领导的“互联校园:沃里克大学案例研究”项目内进行的两个焦点小组的结果。第一阶段涉及沃里克大学的教职员工和学生,旨在为随后的第二阶段收集初步信息,了解在校园内使用人工智能和物联网支持幸福感的可行性。第一阶段的主要发现是来自实际用户的有趣技术建议。用户帮助设计场景并选择他们认为最相关、最有用和最能接受的关键使能技术,以支持和改善校园幸福感。这些结果将为未来设计和实施监测和支持幸福感的技术服务提供信息,例如混合、最小化甚至侵入性(可植入)解决方案。这种服务的用户驱动的共同设计,利用可穿戴设备和人工智能的部署,将提高用户对其的接受程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/71f5dbfa6e04/41598_2023_39834_Fig9_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/71f5dbfa6e04/41598_2023_39834_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/9b1fd69f5537/41598_2023_39834_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/8d7ca1208454/41598_2023_39834_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/828a00ccff94/41598_2023_39834_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/c38937f276cc/41598_2023_39834_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/06c64539e5d0/41598_2023_39834_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/65d45c565718/41598_2023_39834_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/3d9eb54361df/41598_2023_39834_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/627df31dc525/41598_2023_39834_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/007b/10471689/71f5dbfa6e04/41598_2023_39834_Fig9_HTML.jpg

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