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Nurturing natural sensors

Published: 17 September 2011 Publication History

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.

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    cover image ACM Conferences
    UbiComp '11: Proceedings of the 13th international conference on Ubiquitous computing
    September 2011
    668 pages
    ISBN:9781450306300
    DOI:10.1145/2030112
    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: 17 September 2011

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    1. biomarkers
    2. sensors

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