Enabling designers to foresee which colors users cannot see

Katharina Reinecke; David R. Flatla; Christopher Brooks

doi:10.1145/2858036.2858077

Enabling designers to foresee which colors users cannot see

Katharina Reinecke (Lead / Corresponding author), David R. Flatla (Lead / Corresponding author), Christopher Brooks (Lead / Corresponding author)

Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

32 Citations (Scopus)

645 Downloads (Pure)

Abstract

Users frequently experience situations in which their ability to differentiate screen colors is affected by a diversity of situations, such as when bright sunlight causes glare, or when monitors are dimly lit. However, designers currently have no way of choosing colors that will be differentiable by users of various demographic backgrounds and abilities and in the wide range of situations where their designs may be viewed. Our goal is to provide designers with insight into the effect of real-world situational lighting conditions on people’s ability to differentiate colors in applications and imagery. We therefore developed an online color differentiation test that includes a survey of situational lighting conditions, verified our test in a lab study, and deployed it in an online environment where we collected data from around 30,000 participants. We then created ColorCheck, an image-processing tool that shows designers the proportion of the population they include (or exclude) by their color choices.

Original language	English
Title of host publication	CHI '16
Subtitle of host publication	Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	2693-2704
Number of pages	12
ISBN (Print)	9781450333627
DOIs	https://doi.org/10.1145/2858036.2858077
Publication status	Published - May 2016
Event	CHI 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016 https://chi2016.acm.org/wp/ (Link to conference website)

Conference

Conference	CHI 2016
Country/Territory	United States
City	San Jose
Period	7/05/16 → 12/05/16
Internet address	https://chi2016.acm.org/wp/ (Link to conference website)

Keywords

Color vision
Situational lighting conditions
Color differentiablity
Design software

Access to Document

10.1145/2858036.2858077Licence: Other

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Final published version, 2.88 MBLicence: Other

Cite this

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title = "Enabling designers to foresee which colors users cannot see",

abstract = "Users frequently experience situations in which their ability to differentiate screen colors is affected by a diversity of situations, such as when bright sunlight causes glare, or when monitors are dimly lit. However, designers currently have no way of choosing colors that will be differentiable by users of various demographic backgrounds and abilities and in the wide range of situations where their designs may be viewed. Our goal is to provide designers with insight into the effect of real-world situational lighting conditions on people{\textquoteright}s ability to differentiate colors in applications and imagery. We therefore developed an online color differentiation test that includes a survey of situational lighting conditions, verified our test in a lab study, and deployed it in an online environment where we collected data from around 30,000 participants. We then created ColorCheck, an image-processing tool that shows designers the proportion of the population they include (or exclude) by their color choices.",

keywords = "Color vision, Situational lighting conditions, Color differentiablity, Design software",

author = "Katharina Reinecke and Flatla, {David R.} and Christopher Brooks",

year = "2016",

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language = "English",

isbn = "9781450333627 ",

pages = "2693--2704",

booktitle = "CHI '16",

publisher = "Association for Computing Machinery",

note = "CHI 2016 ; Conference date: 07-05-2016 Through 12-05-2016",

url = "https://chi2016.acm.org/wp/",

}

Enabling designers to foresee which colors users cannot see. / Reinecke, Katharina (Lead / Corresponding author); Flatla, David R. (Lead / Corresponding author); Brooks, Christopher (Lead / Corresponding author).
CHI '16 : Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, 2016. p. 2693-2704.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Enabling designers to foresee which colors users cannot see

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AU - Flatla, David R.

AU - Brooks, Christopher

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AB - Users frequently experience situations in which their ability to differentiate screen colors is affected by a diversity of situations, such as when bright sunlight causes glare, or when monitors are dimly lit. However, designers currently have no way of choosing colors that will be differentiable by users of various demographic backgrounds and abilities and in the wide range of situations where their designs may be viewed. Our goal is to provide designers with insight into the effect of real-world situational lighting conditions on people’s ability to differentiate colors in applications and imagery. We therefore developed an online color differentiation test that includes a survey of situational lighting conditions, verified our test in a lab study, and deployed it in an online environment where we collected data from around 30,000 participants. We then created ColorCheck, an image-processing tool that shows designers the proportion of the population they include (or exclude) by their color choices.

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Enabling designers to foresee which colors users cannot see

Abstract

Conference

Keywords

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Cite this