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abstract

Scented Pebbles: Interactive Ambient Experience with Smell and Lighting

Published:15 January 2015Publication History

ABSTRACT

Scented Pebbles is a collection of interactive lighting objects to create multisensory ambience of light and smell. When it senses people's movement and touch, the networked objects will generate dynamic ambience. The pebbles emit smells and control the lighting conditions to create your unique ambience such as Hawaiian Sunset or Japanese Onsen. Experience the orchestra of smell and light play and let your mind run free. The paper presented interactive approach to evoke sensorial imagination through multisensory interactions including olfactory sense.

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References

  1. Kosslyn, Stephen Michael. Image and mind. Harvard University Press, 1980.Google ScholarGoogle Scholar
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  3. McCarthy, John, Peter Wright, Jayne Wallace, and Andy Dearden. "The experience of enchantment in human-computer interaction." Personal and Ubiquitous Computing 10, no. 6 (2006): 369--378. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Scented Pebbles: Interactive Ambient Experience with Smell and Lighting

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    • Published in

      cover image ACM Conferences
      TEI '15: Proceedings of the Ninth International Conference on Tangible, Embedded, and Embodied Interaction
      January 2015
      766 pages
      ISBN:9781450333054
      DOI:10.1145/2677199

      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: 15 January 2015

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      • abstract

      Acceptance Rates

      TEI '15 Paper Acceptance Rate63of222submissions,28%Overall Acceptance Rate393of1,367submissions,29%

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