Humans trade-off search costs and accuracy in a combined visual search and perceptual task

Data as well as MATLAB code for model fitting and to generate ideal observer predictions for the following publication:

Wagner, I., Henare, D., Tünnermann, J., Schubö, A., & Schütz, A., C. (accepted). Humans trade-off search costs and accuracy in a combined visual search and perceptual task. Attention, Perception, & Psychophysics.

The archive "data" contains two .csv file with data of participants that were recorded in the two experimental conditions (single-target: dat_cond1.csv, double-target: dat_cond2.csv). Each row in the .csv files corresponds to one gaze shift that was detected for a given trial of a given participants in a given condition. For more information about what data is stored in which column, please consult the README.rtf file in the "data" archive.

The archive "probabilistcGenerativeModel" contains script to fit the probabilistic generative model and to generate ideal observer predictions. Please consult the README.rtf file in the archive for more information.

The file "supplement_tradeOffSearchCostsAndAccuracy.docx" is the supplementary material for the publication. The supplement contains an extensive formal description of the probabilistic generative model, and additional supplementary plots. This file corresponds to the supplement which is referenced on the publication website of this manuscript.

For further questions, please contact:
Ilja.Wagner[at]psychol.uni-giessen.de or a.schuetz[at]uni.marburg.de