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inAir: measuring and visualizing indoor air quality
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ACM International Conference Proceeding Series archive
Proceedings of the 11th international conference on Ubiquitous computing table of contents
Orlando, Florida, USA
SESSION: Notes table of contents
Pages 81-84  
Year of Publication: 2009
ISBN:978-1-60558-431-7
Authors
Sunyoung Kim  Carnegie Mellon University, Pittsburgh, PA, USA
Eric Paulos  Carnegie Mellon University, Pittsburgh, PA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

Good indoor air quality is a vital part of human health. Poor indoor air quality can contribute to the development of chronic respiratory diseases such as asthma, heart disease, and lung cancer. Complicating matters, poor air quality is extremely difficult for humans to detect through sight and smell alone and existing sensing equipment is designed to be used by and provide data for scientists rather than everyday citizens. We propose inAir, a tool for measuring, visualizing, and learning about indoor air quality. inAir provides historical and real-time visualizations of indoor air quality by measuring tiny hazardous airborne particles as small as 0.5 microns in size. Through user studies we demonstrate how inAir promotes greater awareness and motivates individual actions to improve indoor air quality.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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