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Hudson Valley Muddy Waters: Using AR to Reveal Microscopic Life in the Macroscopic Forest

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Published:22 June 2015Publication History

ABSTRACT

Hudson Valley Muddy Waters makes visible the microscopic life that is key to the health of our forests and streams. The work demonstrates how Augmented Reality and creative imaging can expand the role of the artist in facilitating deeper public connections with the material of science and the macro/microscopic environment. The artist reverses the usual AR relationship of "real" to "aesthetically mediated" by presenting a painterly digital image as point of departure onto which "reality" is layered, rather than the other way around. Using the app Aurasma, the viewer is prompted to experience the thrill of discovering microscopic life in water via short videos of an actual stream and video micro-captures from the same site.

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References

  1. An earlier version of Hudson Muddy Waters was presented as a poster entitled Sensing Science: the Microscopic Environment, at ISEA 2014, in a session on Public Space (proceedings forthcoming).Google ScholarGoogle Scholar

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  1. Hudson Valley Muddy Waters: Using AR to Reveal Microscopic Life in the Macroscopic Forest

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    • Published in

      cover image ACM Conferences
      C&C '15: Proceedings of the 2015 ACM SIGCHI Conference on Creativity and Cognition
      June 2015
      420 pages
      ISBN:9781450335980
      DOI:10.1145/2757226

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 22 June 2015

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      Acceptance Rates

      C&C '15 Paper Acceptance Rate23of88submissions,26%Overall Acceptance Rate108of371submissions,29%
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