research-article

Color naming models for color selection, image editing and palette design

Authors:

Maureen StoneAuthors Info & Claims

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1007 - 1016

https://doi.org/10.1145/2207676.2208547

Published: 05 May 2012 Publication History

Abstract

Our ability to reliably name colors provides a link between visual perception and symbolic cognition. In this paper, we investigate how a statistical model of color naming can enable user interfaces to meaningfully mimic this link and support novel interactions. We present a method for constructing a probabilistic model of color naming from a large, unconstrained set of human color name judgments. We describe how the model can be used to map between colors and names and define metrics for color saliency (how reliably a color is named) and color name distance (the similarity between colors based on naming patterns). We then present a series of applications that demonstrate how color naming models can enhance graphical interfaces: a color dictionary & thesaurus, name-based pixel selection methods for image editing, and evaluation aids for color palette design.

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Salvi ALu KPapka MWang YReda K(2024)Color Maker: a Mixed-Initiative Approach to Creating Accessible Color MapsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642265(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642265
Warchol STroidl JMuhlich JKrueger RHoffer JLin TBeyer JGlassman ESorger PPfister H(2024)psudo: Exploring Multi‐Channel Biomedical Image Data with Spatially and Perceptually Optimized PseudocoloringComputer Graphics Forum10.1111/cgf.1510343:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15103
Zhu ZLi JTang YGo KToyoura MKashiwagi KFujishiro IMao XWard JMcGill MMarky K(2023)CC-Glasses: Color Communication Support for People with Color Vision Deficiency Using Augmented Reality and Deep LearningProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582707(190-199)Online publication date: 12-Mar-2023
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Index Terms

Color naming models for color selection, image editing and palette design
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2012

3276 pages

ISBN:9781450310154

DOI:10.1145/2207676

General Chair:
Joseph A. Konstan
University of Minnesota
,
Program Chairs:
Ed H. Chi
Google
,
Kristina Höök
Mobile Life at KTH

Copyright © 2012 ACM.

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Published: 05 May 2012

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CHI '12: CHI Conference on Human Factors in Computing Systems

May 5 - 10, 2012

Texas, Austin, USA

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Cited By

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https://dl.acm.org/doi/10.1145/3613904.3642265
Warchol STroidl JMuhlich JKrueger RHoffer JLin TBeyer JGlassman ESorger PPfister H(2024)psudo: Exploring Multi‐Channel Biomedical Image Data with Spatially and Perceptually Optimized PseudocoloringComputer Graphics Forum10.1111/cgf.1510343:3Online publication date: 10-Jun-2024
https://doi.org/10.1111/cgf.15103
Zhu ZLi JTang YGo KToyoura MKashiwagi KFujishiro IMao XWard JMcGill MMarky K(2023)CC-Glasses: Color Communication Support for People with Color Vision Deficiency Using Augmented Reality and Deep LearningProceedings of the Augmented Humans International Conference 202310.1145/3582700.3582707(190-199)Online publication date: 12-Mar-2023
https://dl.acm.org/doi/10.1145/3582700.3582707
Tseng CQuadri GWang ZSzafir D(2023)Measuring Categorical Perception in Color-Coded ScatterplotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581416(1-14)Online publication date: 19-Apr-2023
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Lu KReda KDeussen OWang Y(2023)Interactive Context-Preserving Color Highlighting for Multiclass ScatterplotsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580734(1-15)Online publication date: 19-Apr-2023
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