WearAir: Expressive t-shirts for air quality sensing

Sunyoung Kim, Eric Paulos, Mark D. Gross

Research output: Chapter in Book/Report/Conference proceedingConference contribution

31 Scopus citations

Abstract

We designed and prototyped WearAir, an expressive T-shirt to sense the wearer's surrounding air quality as indicated by the measured volatile organic compounds (VOCs) and publicly express those levels through visually expressive patterns. Although poor air quality has been shown to affect human health, our daily exposure to such pollutants has been inadequately captured and publicly shared. Our work is designed to accurately measure and publicly express the immediately local air quality. Obtaining information regarding air quality indirectly from others might help people to increase their awareness to air quality.

Original languageEnglish (US)
Title of host publicationTEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction
Pages295-296
Number of pages2
DOIs
StatePublished - 2010
Externally publishedYes
Event4th International Conference on Tangible, Embedded, and Embodied Interaction, TEI'10 - Cambridge, MA, United States
Duration: Jan 25 2010Jan 27 2010

Publication series

NameTEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction

Other

Other4th International Conference on Tangible, Embedded, and Embodied Interaction, TEI'10
Country/TerritoryUnited States
CityCambridge, MA
Period1/25/101/27/10

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction
  • Software

Keywords

  • Air quality
  • Expressive interface
  • Sensing
  • Wearable

Fingerprint

Dive into the research topics of 'WearAir: Expressive t-shirts for air quality sensing'. Together they form a unique fingerprint.

Cite this