Files visual_ensemble_representations_exp1.csv, visual_ensemble_representations_exp2.csv, ..., visual_ensemble_representations_exp4.csv contain data accompanying the paper "Building ensemble representations: How the shape of preceding distractor distributions affects visual search" by Andrey Chetverikov, Gianluca Campana, & Árni Kristjansson. This is a visual search task for an odd-one-out line (differing from all the rest in orientation). Trials were organized in streaks with stable parameters of distractors distribution. Our main aim was to test the abilitity of observers to learn different parameters, and most importantly, the shape of distractor distribution. We analyzed response times as function of the distance in feature space between the current target and the mean of the previous distractors distribution.
Short data description from the paper:
"In Experiment 1, we test whether observers learn the mean and standard deviation separately or rather if the two parameters are learned together and may be treated as a probability density function in feature space. In Experiment 2 we further test whether observers can learn the shape of distractor distributions (i.e. uniform vs. Gaussian distributions) in addition to their mean and standard deviation. In Experiments 3A, 3B and 3C we aim to replicate the findings of Experiment 2 controlling for potential confounds; and in Experiment 4 we test whether observers can also learn another characteristic of the shape of distractor distributions, namely, their skewness."
You can use them or modify the data as you wish as long as you cite the original paper (see LICENSE.txt): Chetverikov, A., Campana, G., Kristjansson, Á. (2016). Building ensemble representations: How the shape of preceding distractor distributions affects visual search. Cognition, 153, 196–210. http://doi.org/10.1016/j.cognition.2016.04.018. Additionally please cite the data: Chetverikov, A., Kristjansson, A., & Campana, G. (2017, June 21). Datasets: Building ensemble representations: How the shape of preceding distractor distributions affects visual search. http://doi.org/10.17605/OSF.IO/3WCTH.
Desciption of the variables is provided in variables_description.csv.
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