File "exp_colors.csv" contains data accompanying the paper
Chetverikov, A., Campana, G., & Kristjánsson, Á. (2017). Representing Color Ensembles. Psychological Science, 0956797617713787.
Folder "experiment scripts" contains the scripts for a visual search for an oddly-colored diamond:
- color_search_color_search_diamonds_v1_1_bf - main script
- draw_diamonds, saveData, closeExperiment, wait_for_resp, visangle2stimsize - auxillary scripts
- v2struct was made by Adi Navve, see "license note for v2struct.txt" for the copyright and disclaimer
- colors_bg_and_stims.mat contains the RGB values for the colors used in the study. These colors are display-specific, and if you want to use this script for a real study, you'll need to create your own set of colors. We used a set of CIE 1931 XYZ values provided by Dr. Christoph Witzel (see Witzel & Gegenfurtner, 2013, 2015).
Display parameters are set in the beginning of the main script.
**When using** this materials, please cite the original paper: Chetverikov, A., Campana, G., & Kristjánsson, Á. (2017). Representing Color Ensembles. Psychological Science, 0956797617713787.
Additionally, please cite the data:
Chetverikov, A., Kristjansson, A., & Campana, G. (2017, May 15). Dataset and experiment scripts: Representing color ensembles. http://doi.org/10.17605/OSF.IO/T2856
**Abstract from the paper**
Colors are rarely uniform, yet little is known about how people represent color distributions. We introduce a new method for studying color ensembles based on intertrial learning in visual search. Participants looked for an oddly colored diamond among diamonds with colors taken from either uniform or Gaussian color distributions. On test trials, the targets had various distances in feature space from the mean of the preceding distractor color distribution. Targets on test trials therefore served as probes into probabilistic representations of distractor colors. Test-trial response times revealed a striking similarity between the physical distribution of colors and their internal representations. The results demonstrate that the visual system represents color ensembles in a more detailed way than previously thought, coding not only mean and variance but, most surprisingly, the actual shape (uniform or Gaussian) of the distribution of colors in the environment.
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