Mesh : Humans Biomedical Engineering Artificial Intelligence Bioengineering Engineering Focus Groups

来  源:   DOI:10.1038/s41598-023-39834-8   PDF(Pubmed)

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年由应用生物医学和信号处理智能电子健康实验室领导的两个阶段项目中进行的两个焦点小组的结果。华威大学工程学院,和英国电信在“互联校园:华威大学案例研究”计划中。第一阶段,通过让沃里克大学的教职员工和学生参与进来,旨在为随后的第二阶段收集初步信息,关于在校园中使用人工智能和物联网来支持福祉的可行性。第一阶段的主要发现是来自真实用户的有趣技术建议。用户帮助设计场景和选择他们认为最相关的关键使能技术,有用和可接受的支持和改善校园福祉。这些结果将为未来的服务提供信息,以设计和实施监测和支持福祉的技术,如杂种,最小,甚至侵入性(可植入)的解决方案。这些服务的用户驱动协同设计,利用可穿戴设备和人工智能部署的使用将增加用户的可接受性。
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