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                <text>Negotiating the capacities and limitations of&#13;
sensor-mediated care in the home</text>
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                <text>sensor, healthcare, infrastructure, dementia, labor, ethics</text>
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                <text>In-home sensor systems supported by machine learning are increasingly used to enhance communication between those living with long-term&#13;
conditions such as dementia and healthcare professionals and carers who support them. Perspectives from the sociology of infrastructures are&#13;
used to explore the development and deployment of such a system of smart care, drawing on interviews with researchers and developers,&#13;
healthcare professionals and service users, and carers. The analysis finds that labor of various forms is required to manage the production of&#13;
useful sensor data, including parsing the reasons for missing data and organizing appropriate actions in response. The analysis highlights active&#13;
processes of deriving meaning from that data in ways that participants find useful, ethical, and sustainable. The conclusion emphasizes the&#13;
usefulness of an infrastructural approach in order to recognize the heterogeneous forms of labor involved in developing ethically sensitive,&#13;
person-centered forms of remote-monitoring-enabled care.</text>
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                <text>Christine Hine 1,*, Ramin Nilforooshan2&#13;
&#13;
, Payam Barnaghi3</text>
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                <text>https://doi.org/10.1093/jcmc/zmad013</text>
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                <text>Oxford University Press on behalf of International Communication Association.</text>
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                <text>7 April 2023</text>
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                <text>Mediating social support through sensor-based&#13;
technologies for children’s health behavior change</text>
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                <text>social support, sensor-based technologies, children, avatars and agents, health</text>
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                <text>Sensor-based technologies (SBTs) allow users to track biometric data and feature interactions that foster social support. The social support from&#13;
SBTs can increase intrinsic motivation to engage in and sustain positive health behaviors. Guided by technological affordances and&#13;
self-determination theory, this study tested the long-term efficacy of an ecosystem of SBTs to strengthen social support for children’s behavior&#13;
change, children’s perceived relatedness, and positive physical activity (PA) attitudes. This ecosystem integrated Fitbits tracking each child’s PA,&#13;
kiosks with virtual agents that synced with Fitbit data, and a messaging system for parents and children. Afterschool programs (N 1⁄4 19) were&#13;
randomly set with this ecosystem or a Fitbit with a computer for 6 months. Results suggested that parents of girls provided more social support&#13;
to children via the ecosystem than parents of boys. Children’s perceived support from the virtual agent was positively associated with perceived&#13;
relatedness and PA attitudes over time.</text>
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                <text>Joshua Baldwin 1&#13;
&#13;
, Joomi Lee 2&#13;
&#13;
, Allan D. Tate3&#13;
&#13;
, Christian D. Okitondo3&#13;
&#13;
, Kyle Johnsen4&#13;
,&#13;
&#13;
Michael D. Schmidt5&#13;
&#13;
, Stephen Rathbun3&#13;
&#13;
, Eric Novotny6&#13;
&#13;
, Sun Joo (Grace) Ahn1,*</text>
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                <text>https://doi.org/10.1093/jcmc/zmad011</text>
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                <text>by Oxford University Press on behalf of International Communication Association.</text>
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                <text>Communication about sensors and communication&#13;
through sensors: localizing the Internet of Things in rural&#13;
communities</text>
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                <text>Internet of Things, technology adoption, urban/rural, community, qualitative methods, smart homes/cities</text>
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                <text>Internet of Things (IoT) sensor networks are an emerging technology at the center of the datafication and optimization of far-reaching environmental&#13;
infrastructures—from “smart cities” to workplace efficiencies. However, this low-power, low-cost technology is also well suited to local deployments&#13;
in rural communities, which are often overlooked by digital development initiatives. Therefore, we used a social construction of technology approach to&#13;
&#13;
study how various U.S.-based IoT stakeholders—including designers and advocates as well as citizen stakeholders—understand and value sensor net-&#13;
work technologies. Through observational methods, in-depth interviews, and participatory design research in a rural Upstate New York municipality,&#13;
&#13;
we worked to design sensor networks with rural community members to generate data about and for community members to further local&#13;
knowledge. We found that designing rural sensor networks requires stakeholders to navigate obstacles of communication about sensors and&#13;
communication through sensors to facilitate secure, ethical, and localized sensing in rural communities.</text>
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                <text>Chelsea Butkowski 1,*, Ngai Keung Chan2&#13;
&#13;
, Talia Berniker3&#13;
&#13;
, Alfredo Rodriguez4&#13;
,&#13;
&#13;
Kenneth Schlather5&#13;
&#13;
, K. Max Zhang4&#13;
&#13;
, Lee Humphreys</text>
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                <text>https://doi.org/10.1093/jcmc/zmad005</text>
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