Negotiating the capacities and limitations of
sensor-mediated care in the home

Negotiating the capacities and limitations of
sensor-mediated care in the home

sensor, healthcare, infrastructure, dementia, labor, ethics

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.

Christine Hine 1,*, Ramin Nilforooshan2

, Payam Barnaghi3

https://doi.org/10.1093/jcmc/zmad013

Oxford University Press on behalf of International Communication Association.

7 April 2023

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