Negotiating the capacities and limitations of sensor-mediated care in the home
Negotiating the capacities and limitations of sensor-mediated care in the home
复制标题
协商家庭传感器介导护理的能力和局限性
DOI：
10.1093/jcmc/zmad013
复制
发表时间：
2023
影响因子：
7.2
通讯作者：
Hine C
中科院分区：
文献类型：
--
作者：
Hine C
在机器学习的支持下，家庭传感器系统越来越多地被用来加强那些患有痴呆症等长期疾病的人与医疗保健专业人员和支持他们的护理人员之间的沟通。从基础设施社会学的角度，通过对研究人员和开发人员、医疗保健专业人员和服务用户以及护理人员的采访，探讨了这种智能护理系统的开发和部署。分析发现，需要各种形式的劳动力来管理有用的传感器数据的产生，包括分析丢失数据的原因并组织适当的响应行动。这项分析强调了以参与者认为有用、道德和可持续的方式从这些数据中获得意义的积极过程。结论强调了基础设施方法的有用性，以便认识到开发具有伦理敏感性的、以人为中心的远程监控护理形式所涉及的不同形式的劳动。
In-home sensor systems supported by machine learning are increasingly used to enhance communication between those living with long-term conditions such as dementia and healthcare professionals and carers who support them. Perspectives from the sociology of infrastructures are used to explore the development and deployment of such a system of smart care, drawing on interviews with researchers and developers, healthcare professionals and service users, and carers. The analysis finds that labor of various forms is required to manage the production of useful sensor data, including parsing the reasons for missing data and organizing appropriate actions in response. The analysis highlights active processes of deriving meaning from that data in ways that participants find useful, ethical, and sustainable. The conclusion emphasizes the usefulness of an infrastructural approach in order to recognize the heterogeneous forms of labor involved in developing ethically sensitive, person-centered forms of remote-monitoring-enabled care.