short-paper

Accessibility for individuals with color vision deficiency

Author:

David R. FlatlaAuthors Info & Claims

UIST '11 Adjunct: Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology

Pages 31 - 34

https://doi.org/10.1145/2046396.2046412

Published: 16 October 2011 Publication History

Abstract

Individuals with Color Vision Deficiency (CVD) are often unable to distinguish between colors that individuals without CVD can distinguish. Recoloring tools exist that modify the colors in an image so they are more easily distinguishable for those with CVD. These tools use models of color differentiation that rely on many assumptions about the environment and user. However, these assumptions rarely hold in real-world use cases, leading to incorrect color modification by recoloring tools. In this doctoral symposium, I will present Situation-Specific Models (SSMs) as a solution to this problem. SSMs are color differentiation models created in-situ via a calibration procedure. This calibration procedure captures the exact color differentiation abilities of the user, allowing a color differentiation model to be created that fits the user and his/her environmental situation. An SSM-based recoloring tool will be able to provide recolored images that most accurately reflect the color differentiation abilities of a particular individual in a particular environment.

References

[1]

Birch, J. Diagnosis of Defective Colour Vision, 2nd Edition. Butterworth-Heinemann Medical, 2001.

[2]

Brettel, H., Viénot, F., Mollon, J.D. Computerized simulation of color appearance for dichromats. Journal of the Optical Society of America A, 14(10), Oct. 1997, 2647--2655.

[3]

Flatla, D.R. A Predictive Model of Colour Differentiation. M.Sc. Thesis. University of Saskatchewan, 2009.

[4]

Flatla, D.R., Gutwin, C., Nacke, L.E., Bateman, S., Mandryk, R.L. Calibration Games: Making Calibration Tasks Enjoyable by Adding Motivating Game Elements. To appear: UIST 2011, October.

Digital Library

[5]

Flatla, D.R., Gutwin, C. Improving Assistive Software for Color Vision Deficiency through Multiple Model Aggregation. CHI 2011 Extended Abstracts.

[6]

Flatla, D.R., Gutwin, C. Improving Calibration Time and Accuracy for Situation-Specific Models of Color Differentiation. To appear: ASSETS 2011, October.

Digital Library

[7]

Flatla, D.R., Gutwin, C. Individual Models of Color Differentiation to Improve Interpretability of Information Visualization. Proc. CHI 2010. 2563--2572.

Digital Library

[8]

Jefferson, L., Harvey, R. Accommodating Color Blind Computer Users. Proc. ASSETS 2006, 40--47.

Digital Library

[9]

Knoblauch, K., Vital-Durand, F., Barbur, J.L. Variation of chromatic sensitivity across the life span. Vision Research, 41(1), 2001, 23--36.

[10]

Kuhn, G.R., Oliveira, M.M., Fernandes, L.A.F. An Efficient Naturalness-Preserving Image-Recoloring Method for Dichromats. IEEE Transactions on Visualization and Computer Graphics, 14(6), 2008, 1747--1754.

[11]

Machado, G.M., Oliveira, M.M., Fernandes, L.A.F. A Physiologically-based Model for Simulation of Color Vision Deficiency. IEEE Transactions on Visualization and Computer Graphics, 15(6), 2009, 1291--1298.

Digital Library

[12]

Meyer, G.W., Greenberg, D.P. Color-Defective Vision and Computer Graphics Displays. IEEE Computer Graphics and Applications, 8(5), 1988, 28--40.

[13]

Poirson A.B., Wandell, B.A. The Ellipsoidal Representation of Spectral Sensitivity. Vision Research, 30(4), 1990, 647--652.

[14]

Rasche, K., Geist, R., Westall, J. Detail Preserving Reproduction of Color Images for Monochromats and Dichromats. IEEE Computer Graphics and Applications, 25(3), 2005, 22--30.

Digital Library

[15]

Stone, M.C. A Field Guide to Digital Color. AK Peters, Ltd. 2003.

Digital Library

[16]

Viénot, F., Brettel, H., Ott, L., Ben M'Barek, A., Mollon, J.D. What do colour-blind people see? Nature, 376(6536), 1995, 127--128.

[17]

Wakita, K., Shimamura, K. SmartColor: Disambiguation Framework for the Colorblind. Proc. ASSETS 2005, 158--165.

Digital Library

Cited By

Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.95524.313Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524.3
Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.9552413Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524
Di Gregorio MDi Nucci DPalomba FVitiello G(2022)The making of accessible Android applications: an empirical study on the state of the practiceEmpirical Software Engineering10.1007/s10664-022-10182-x27:6Online publication date: 6-Aug-2022
https://doi.org/10.1007/s10664-022-10182-x
Show More Cited By

Index Terms

Accessibility for individuals with color vision deficiency
1. Social and professional topics
  1. Professional topics
    1. Computing profession
      1. Assistive technologies
  2. User characteristics
    1. People with disabilities

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Color is commonly used to represent categories and values in many computer applications, but differentiating these colors can be difficult in many situations (e.g., for users with color vision deficiency (CVD), or in bright light). Current solutions to ...

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Published In

cover image ACM Conferences

UIST '11 Adjunct: Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology

October 2011

108 pages

ISBN:9781450310147

DOI:10.1145/2046396

General Chair:
Jeff Pierce
IBM Research, USA
,
Program Chairs:
Maneesh Agrawala
University of California, Berkeley, USA
,
Scott Klemmer
Stanford University, USA

Copyright © 2011 Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2011

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UIST '11

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UIST '11: The 24th Annual ACM Symposium on User Interface Software and Technology

October 16 - 19, 2011

California, Santa Barbara, USA

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Overall Acceptance Rate 842 of 3,967 submissions, 21%

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Cited By

Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.95524.313Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524.3
Stevens HWinegar COakley APiccolo S(2024)Identifying images in the biology literature that are problematic for people with a color-vision deficiencyeLife10.7554/eLife.9552413Online publication date: 11-Sep-2024
https://doi.org/10.7554/eLife.95524
Di Gregorio MDi Nucci DPalomba FVitiello G(2022)The making of accessible Android applications: an empirical study on the state of the practiceEmpirical Software Engineering10.1007/s10664-022-10182-x27:6Online publication date: 6-Aug-2022
https://doi.org/10.1007/s10664-022-10182-x
Ahmad IChoudhry S(2022)Color Vision Deficiency and Live RecoloringPattern Recognition and Artificial Intelligence10.1007/978-3-031-04112-9_3(33-46)Online publication date: 13-Apr-2022
https://doi.org/10.1007/978-3-031-04112-9_3
de Araújo RDos Reis JBonacin R(2018)Understanding interface recoloring aspects by colorblind people: a user studyUniversal Access in the Information Society10.1007/s10209-018-0631-7Online publication date: 14-Aug-2018
https://doi.org/10.1007/s10209-018-0631-7
Constantinou VLanitis AIoannou APapadopoulos GKuflik TChen FDuarte CFu W(2017)Using Virtual Reality to Train Designers to Develop Friendly Interfaces for Achromatic Vision PatientsCompanion Proceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3030024.3038270(77-80)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3030024.3038270
Hau Chua SZhang HHammad MZhao SGoyal SSingh K(2015)ColorBlessACM Transactions on Computer-Human Interaction10.1145/268792321:6(1-20)Online publication date: 14-Jan-2015
https://dl.acm.org/doi/10.1145/2687923
Tanuwidjaja EHuynh DKoa KNguyen CShao CTorbett PEmmenegger CWeibel NBrush AFriday AKientz JScott JSong J(2014)ChromaProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2632048.2632091(799-810)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2632048.2632091

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