<p>File data.csv contains data accompanying the paper "Representing color and orientation ensembles: Can observers learn multiple feature distributions" by Sabrina Hansmann-Roth, Andrey Chetverikov & Árni Kristjansson. This is a visual search task for an odd-one-out line (differing from all the rest in orientation or in color). Trials were organized in streaks with stable parameters of both feature distributions. Our main aim from the paper: "We investigated whether the irrelevant feature distribution influences learning of the task-relevant distribution and whether observers also encode the irrelevant distribution."</p>
<p>Short data description from the paper:
"Observers performed simple visual search tasks, searching for the odd-one-out target among a 6x6 grid of lines. That target line was distinguishable either by color or orientation. We used a similar design as in Chetverikov et al. (2016, 2017a, 2017b, 2017c) by blocking the trials into learning and test streaks. Test trials were used to probe distribution shape learning.
Since only one of the two features was task-relevant, this allows us to investigate the influence of the irrelevant feature distribution on distribution learning. Colors and orientations were drawn from either a Gaussian or a uniform distribution. Distribution characteristics (mean, SD, and shape) were held constant during learning streaks. In different conditions we tested the influence of a secondary feature and, moreover, also the possible internal representation of that task-irrelevant feature. The detailed procedure and the design of the stimulus display are described below."</p>
<p>You can use them or modify the data as you wish as long as you cite the original paper (see LICENSE.txt): Hansmann-Roth, S., Chetverikov, A., & Kristjansson, A. (2019). Representing color and orientation ensembles: Can observers learn multiple feature distributions?. Journal of Vision, XX, XX-XX.
Additionally, please cite the data:
Hansmann-Roth, S., Chetverikov, A., & Kristjansson, A. (2019, June). Datasets: Representing color and orientation ensembles: Can observers learn multiple feature distributions?</p>
<p>Description of the variables is provided in variables_description.txt.</p>
<p>If you have the questions feel free to contact me at
email@example.com or firstname.lastname@example.org.</p>