This special issue examines mediated communication through the rise of sensors. Sensors are increasingly in the phones we carry, in the cars we drive, and throughout the homes and communities in which we live. In this introduction to the special issue, we define sensor-mediated communication (SMC) and argue the embedded, automatic, and datafied nature of sensors belie the glitches and biases in sensor mechanisms, networks, and infrastructure. The collection of articles in this issue explores SMC across a variety of contexts and cases, including municipal infrastructure, community, health, industry, and the domestic. They represent studies of voice assistants, self-tracking apps, self-driving cars, fitness games, home health care, as well as municipal sensor networks in urban, indigenous, and rural communities. Across them all we see the different ways through which mediated communication is initiated, transformed, and maintained by sensing technologies. Together they represent an important evolution in the study of computer-mediated communication.
Internet of Things (IoT) sensor networks are an emerging technology at the center of the datafication and optimization of far-reaching environmental infrastructures—from “smart cities” to workplace efficiencies. However, this low-power, low-cost technology is also well suited to local deployments in rural communities, which are often overlooked by digital development initiatives. Therefore, we used a social construction of technology approach to study how various U.S.-based IoT stakeholders—including designers and advocates as well as citizen stakeholders—understand and value sensor network technologies. Through observational methods, in-depth interviews, and participatory design research in a rural Upstate New York municipality, we worked to design sensor networks with rural community members to generate data about and for community members to further local knowledge. We found that designing rural sensor networks requires stakeholders to navigate obstacles of communication about sensors and communication through sensors to facilitate secure, ethical, and localized sensing in rural communities.
more » « less- Award ID(s):
- 1952063
- PAR ID:
- 10445402
- Publisher / Repository:
- Oxford University Press
- Date Published:
- Journal Name:
- Journal of Computer-Mediated Communication
- Volume:
- 28
- Issue:
- 5
- ISSN:
- 1083-6101
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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