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A low-tech sensing system for particulate pollution

Published: 16 February 2014 Publication History

Abstract

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.

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    cover image ACM Conferences
    TEI '14: Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
    February 2014
    401 pages
    ISBN:9781450326353
    DOI:10.1145/2540930
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 16 February 2014

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    Author Tags

    1. DIY
    2. low-tech sensing
    3. paper computing

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    TEI '14 Paper Acceptance Rate 46 of 172 submissions, 27%;
    Overall Acceptance Rate 393 of 1,367 submissions, 29%

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    • (2023)Sustainable HCI Under Water: Opportunities for Research with Oceans, Coastal Communities, and Marine SystemsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581291(1-16)Online publication date: 19-Apr-2023
    • (2023)Residents’ perception and environmental assessment of a waste recycling centre: a case study of Buenos Aires City (Argentina)Environment, Development and Sustainability10.1007/s10668-023-03672-526:10(25113-25131)Online publication date: 31-Jul-2023
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