Estimating color-concept associations from image statistics

Our paper on how estimating color-concept associations from images will be published in IEEE Transactions on Visualization and Computer Graphics (TVCG) and presented at InfoVis 2019. This study assessed different methods for estimating color-concept associations from image statistics.  The most effective model used features that were relevant to human perception and cognition—features aligned with perceptual dimensions of color space and a feature that extrapolated to all colors within a color category.

Rathore, R., Leggon, Z., Lessard, L., Schloss, K. B. (in press). Estimating color-concept associations from image statistics. IEEE Transactions on Visualization and Computer Graphics

New Publication: Color, Music, and Emotion: Bach to the Blues

 

Our new article on color-music associations for a wide variety of genres was recently published in i-Perception. 

Color-music associations can be predicted from lower-level perceptual dimensions and higher-level emotional dimensions, but evidence indicates that the lower-level correspondences are mediated by shared emotional content between the colors and the music.

 

Whiteford, K. L., Schloss, K. B., Helwig, N. E., & Palmer, S. E. (2018). Color, Music, and Emotion: Bach to the Blues. i-Perception9(6), 1-27. 

New Publication: Color inference in visual communication: the meaning of colors in recycling

Our new article on how people interpret messages in color-coding systems was published in Cognitive Research: Principles and Implications (CRPI).

REFERENCE: Schloss, K. B., Lessard, L., Walmsley, C. S., & Foley, K. (2018). Color inference in visual communication: The meaning of colors in recycling. Cognitive Research: Principles and Implications, 3, 5.

New Publication: Seasonal Changes in Color Preferences Are Linked to Variations in Environmental Colors: A Longitudinal Study of Fall

Our new article on how and why color preferences change of the course of Fall was published in the i-Perception Special Issue: Seeing Colors.

REFERENCE: Schloss, K. B., & Heck, I. A. (2017). Seasonal changes in color preferences are linked to variations in environmental colors: A longitudinal study of fall, i-Perception, 8, 6, 1-19. 

New publication: Colorgorical: Creating discriminable and preferable color palettes for information visualization

PrintColorgorical is a new, interactive tool that generates color palettes for data visualization. Designed and validated using empirical data, Colorgorical creates palettes that allow users to balance aesthetics and discriminability.

Connor Gramazio presented Colorgorical at IEEE Vis 2016. Our paper describing Colorgorical can be found here and the implementation can be found on GitHub located here.

REFERENCE: Gramazio, C. C., Laidlaw, D. H., and Schloss, K. B. (2017). Colorgorical: Creating discriminable and preferable color palettes for information visualization, IEEE Transactions on Visualization and Computer Graphics.