Enabling designers to foresee which colors users cannot see
- Submitting institution
-
University of Dundee
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 28399684
- Type
- E - Conference contribution
- DOI
-
10.1145/2858036.2858077
- Title of conference / published proceedings
- CHI '16 : Proceedings of the 34th Annual ACM Conference on Human Factors in Computing Systems
- First page
- 2693
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- 18
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper addresses situational accessibility and how digital products can be designed with insight into real-world lighting conditions and their effect on application usage. It received a CHI 2016 Best Paper Award (top 1% of conference submissions). Conducted as an international collaboration between Washington, Dundee and Michigan, this work contributes open-source software to measure colour differentiation, and analysis of user colour vision based on data from 29,004 people. It demonstrates that situational lighting can impair colour vision for any computer user and that design for digital devices should be altered in future to take this into consideration.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -