Colorimia: Color Picking and Image Generation with a Physical AI
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3689050.3705989.pdf
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14.26 MB
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Adobe PDF
Checksum (MD5)
bb938f6a3b5d4eb6288e0b59db2696c8
Author(s)
Yan, Ziwen
Liu, Xuanxuan
Labrune, Jb
Coelho, Marcelo
Date Issued
March 4, 2025
Publisher
ACM|Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction
Citation
Ziwen Yan, Xuanxuan Liu, Jb Labrune, and Marcelo Coelho. 2025. Colorimia: Color Picking and Image Generation with a Physical AI. In Proceedings of the Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction (TEI '25). Association for Computing Machinery, New York, NY, USA, Article 86, 1–6.
Version
Final published version
Abstract
In an era where digital interaction often overshadows our engagement with the physical world, Colorimia is a physical AI tool for color picking and image generation. By combining a color sensor and a text-to-image diffusion model, users can capture colors from the environment, which are used to generate unique images based on a chosen theme. In this paper, we detail Colorimia’s design process, its functionality, and an exploratory user study involving individuals with a variety of experiences with artificial intelligent systems. Preliminary findings suggest that creating with colors from their environment encouraged users to engage more actively with their surroundings, and inspired creative exploration with everyday encounters. In future research, we will explore the device’s potential across broader application and user testing contexts to better understand and enhance its impact on user creativity and practical use.
Description
TEI ’25, March 04–07, 2025, Bordeaux / Talence, France
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1145/3689050.3705989
