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

<p>Data&nbsp;as well as MATLAB code for model fitting and to generate ideal observer predictions for the following publication:</p> <p>Wagner, I., Henare, D., T&uuml;nnermann, J., Schub&ouml;, A.,&nbsp;&amp; Sch&uuml;tz, A., C. (accepted). Humans trade-off search costs and accuracy in a combined visual search and perceptual task.&nbsp;<em>Attention, Perception, &amp; Psychophysics</em>.</p> <p>The archive &quot;data&quot; contains two&nbsp;.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 &quot;data&quot; archive.</p> <p>The archive &quot;probabilistcGenerativeModel&quot; 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.</p> <p>The file &quot;supplement_tradeOffSearchCostsAndAccuracy.docx&quot; is the supplementary material for the publication. The supplement contains an extensive formal description of the probabilistic&nbsp;generative model, and additional supplementary plots. This file corresponds to the supplement which is referenced on the publication website of&nbsp;this manuscript.</p> <p>For further questions, please contact:<br> Ilja.Wagner[at]psychol.uni-giessen.de or a.schuetz[at]uni.marburg.de</p>