TY - CONF
T1 - Smell Pittsburgh
T2 - 24th ACM International Conference on Intelligent User Interfaces, IUI 2019
AU - Hsu, Yen Chia
AU - Tasota, Michael
AU - Cross, Jennifer
AU - Dias, Beatrice
AU - Dille, Paul
AU - Sargent, Randy
AU - Huang, Ting Hao
AU - Nourbakhsh, Illah
N1 - Funding Information:
The Heinz Endowments, the CREATE Lab (Jessica Pachuta, Ana Tsuhlares), Allegheny County Clean Air Now (ACCAN), PennEnvironment, Group Against Smog and Pollution (GASP), Sierra Club, Reducing Outdoor Contamination in Indoor Spaces (ROCIS), Blue Lens, PennFuture, Clean Water Action, Clean Air Council, the Global Communication Center of Carnegie Mellon University (Ryan Roderick), the Allegheny County Health Department, and all other participants.
Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019
Y1 - 2019
N2 - Urban air pollution has been linked to various human health considerations, including cardiopulmonary diseases. Communities who suffer from poor air quality often rely on experts to identify pollution sources due to the lack of accessible tools. Taking this into account, we developed Smell Pittsburgh, a system that enables community members to report odors and track where these odors are frequently concentrated. All smell report data are publicly accessible online. These reports are also sent to the local health department and visualized on a map along with air quality data from monitoring stations. This visualization provides a comprehensive overview of the local pollution landscape. Additionally, with these reports and air quality data, we developed a model to predict upcoming smell events and send push notifications to inform communities. Our evaluation of this system demonstrates that engaging residents in documenting their experiences with pollution odors can help identify local air pollution patterns, and can empower communities to advocate for better air quality.
AB - Urban air pollution has been linked to various human health considerations, including cardiopulmonary diseases. Communities who suffer from poor air quality often rely on experts to identify pollution sources due to the lack of accessible tools. Taking this into account, we developed Smell Pittsburgh, a system that enables community members to report odors and track where these odors are frequently concentrated. All smell report data are publicly accessible online. These reports are also sent to the local health department and visualized on a map along with air quality data from monitoring stations. This visualization provides a comprehensive overview of the local pollution landscape. Additionally, with these reports and air quality data, we developed a model to predict upcoming smell events and send push notifications to inform communities. Our evaluation of this system demonstrates that engaging residents in documenting their experiences with pollution odors can help identify local air pollution patterns, and can empower communities to advocate for better air quality.
UR - http://www.scopus.com/inward/record.url?scp=85065557282&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85065557282&partnerID=8YFLogxK
U2 - 10.1145/3301275.3302293
DO - 10.1145/3301275.3302293
M3 - Paper
AN - SCOPUS:85065557282
SP - 65
EP - 79
Y2 - 17 March 2019 through 20 March 2019
ER -
