Developing information technology to democratize scientific knowledge and support citizen empowerment is a challenging task. In our case, a local community suffered from air pollution caused by industrial activity. The residents lacked the technological fluency to gather and curate diverse scientific data to advocate for regulatory change. We collaborated with the community in developing an air quality monitoring system which integrated heterogeneous data over a large spatial and temporal scale. The system afforded strong scientific evidence by using animated smoke images, air quality data, crowdsourced smell reports, and wind data. In our evaluation, we report patterns of sharing smoke images among stakeholders. Our survey study shows that the scientific knowledge provided by the system encourages agonistic discussions with regulators, empowers the community to support policy making, and rebalances the power relationship between stakeholders.
Other work focuses on gathering and managing sensor data. in 2011 @cite_58 developed a monitoring system which involves low-cost air quality sensors and web-based visualizations. In 2013, @cite_61 designed a bio-electronic soil sensor to detect bacterial activities and visualized the data by using LED matrices and an LCD screen on a wooden enclosure. in 2014 @cite_10 presented a low-tech and low-cost paper sensor for collecting particulate pollution in the air. @cite_23 described an indoor air quality monitoring system in domestic environments. @cite_6 implemented a low-cost wearable sensor to measure airborne particles and a mobile application for visualizing the air quality data. These works emphasize studying the impact after deploying sensors on multiple communities by analyzing changes of user behaviors and ways that users interact with technology. User studies show that sensing technology with well-crafted visualizations can engage local communities to participate in political activism using concrete scientific evidence.
@cite_61 @cite_6 @cite_23 @cite_58 @cite_10
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In 2012, air pollution in both cities and rural areas was estimated to have caused 3.7 million premature deaths, 88 of those in at risk communities. The primary pollutant was small airborne particulate matter of 10 microns or less in diameter which led to the development of cardiovascular and respiratory diseases. In response, we developed MyPart, the first personal, portable, and accurate particle sensor under $50 capable of distinguishing and counting differently sized particles. We demonstrate how MyPart offers substantial enhancements over most existing air particle sensors by simultaneously improving accessibility, flexibility, portability, and accuracy. We describe the evolution and implementation of the sensor design, demonstrate its performance across twenty everyday urban environments versus a calibrated instrument, and conduct a preliminary user study to report on the overall user experience of MyPart. We also present a novel smart-phone visualization interface and a series of simple form factor adaptations of our design. Indoor air quality (IAQ) is important for health as people spend the majority of time indoors, and it is particularly interesting over outdoor air because it strongly ties to indoor activities. Some activities easily exacerbate IAQ, resulting in serious pollution. However, people may not notice such changes because many pollutants are colorless and odorless, while many activities are inconspicuous and routine. We implemented inAir, a system that measures and visualizes IAQ that households appropriate and integrate into everyday life. The research goals of this work include understanding the IAQ dynamics with respect to habitual behaviors and analyzing behavioral and quantitative changes towards improving IAQ by the use of inAir. From our longitudinal study for four months, we found that inAir successfully elicited the reflection upon, and the modification of habitual behaviors for healthy domestic environments, which resulted in the significant improvement of IAQ. Our work explores the convergence between participatory sensing, political activism and public expressions. Unlike prior research, which focuses on personal sensing, we present low-cost, networked air quality sensors, designed to be repositioned across public landscapes by communities of citizen stakeholders. Our GPS-enabled sensors report dust, exhaust, or VOC's (volatile organic compounds), along with temperature, humidity and light levels to a website that visualizes this data in real time. The sensors can be attached to a variety of surfaces serving as research probes to demarcate ('tag') public spaces with environmental concerns. We deploy our fully functional system with four urban communities - parents, bicyclists, homeless and activists, positioning our system as a tool for studying and supporting community togetherness and public activism. Our findings highlight community sharing of the physical sensors and dialogues surrounding the collected data. We present an ultra low-cost sensing system, which enables participants to see and reflect on the particulates in their air. Drawing on prior work in paper computing, we introduce small sensors for particulate pollution that can be easily assembled from common paper materials for less than $1 USD, and mailed by regular postal service to residents of entire neighborhoods, cities, or geographic regions. Recipients collect particulate samples using these sensors and mail them back to a central location, where the particles are viewed and analyzed via a microscope. The data, which includes rich images of actual air pollution particles, can then be broadcast to larger audiences. This paper details the design of our system and its deployment with a local air quality activist community. We conclude by highlighting the tradeoffs between high-tech and low-tech sensing, and suggest opportunities for tangible interaction to support rich, new ways of seeing our environment.