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Pixels to Droplets: Multi-Output Display of Color, Odor, and Shape Change with Organic Primitives

Published: 06 May 2017 Publication History

Abstract

Pixels are considered to be the smallest addressable unit in a digital image system. I propose that Droplets are the smallest addressable unit within a fluid based information display. Just as pixels are the programmed visual representations from the information output of computers, droplets can be generated from the information output of molecules. Using Organic Primitives, a toolbox of pH-reactive sensor-actuator materials, I explore multi-modal methods for human interaction with molecules. We typically use culturally recognizable symbols to communicate with Pixels. With Organic Primitives, objects such as apples are transformed into information displays, utilizing innate signals from nature to communicate. For example, we infer pain when we see blood, feel a sense of trypophobia or danger when we see spotted patterns, and have an inherent adverse response to sulphuric odors. Utilizing these color, odor and shape changing primitives, I demonstrate how interactions with organic, fluid-based systems can be made possible.

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  1. Pixels to Droplets: Multi-Output Display of Color, Odor, and Shape Change with Organic Primitives

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    cover image ACM Conferences
    CHI EA '17: Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems
    May 2017
    3954 pages
    ISBN:9781450346566
    DOI:10.1145/3027063
    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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    New York, NY, United States

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    Published: 06 May 2017

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    Author Tags

    1. biosemiotics
    2. chemical sensing
    3. edible materials
    4. microfluidics
    5. molecular design interactions
    6. ph-reactive
    7. programmable food

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    CHI EA '17 Paper Acceptance Rate 1,000 of 5,000 submissions, 20%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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