Nurturing natural sensors

Stacey Kuznetsov, William Odom, James Pierce, Eric Paulos

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

21 Scopus citations

Abstract

Sensing has played a significant role in the evolution of ubiquitous computing systems, enabling many of today's compelling interactive and ubiquitous experiences. In this paper, we argue for expanding the current landscape of sensing to include living organisms such as plants and animals, along with traditional tools and digital devices. We present a field study of ten individuals who routinely work with living organisms such as plants, fish, reptiles and bees, and rely on these organisms as well as analog instruments and digital sensors to infer environmental conditions and inform future actions. Our findings offer a new perspective on everyday biomarkers, and we use the lens of organic and non-digital sensing to reflect on current sensing paradigms in ubiquitous computing. We conclude with three opportunity areas to help frame future work in ubiquitous sensing: (1) incorporating traditional technologies and living systems into ubiquitous sensing applications, (2) developing information technologies that teach new ways of 'seeing', and (3) supporting richer forms of metadata to unite stakeholders through their actions, interests and concerns.

Original languageEnglish (US)
Title of host publicationUbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing
Pages227-236
Number of pages10
DOIs
StatePublished - 2011
Externally publishedYes
Event13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops - Beijing, China
Duration: Sep 17 2011Sep 21 2011

Publication series

NameUbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing

Conference

Conference13th International Conference on Ubiquitous Computing, UbiComp'11 and the Co-located Workshops
CountryChina
CityBeijing
Period9/17/119/21/11

Keywords

  • biomarkers
  • sensors

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications

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