Title: Dataset supplementing Stoll, J., Thrun, M., Nuthmann, A., & Einhäuser, W. (2015). Overt attention in natural scenes: Objects dominate features. Vision Research, 107, 36-48. doi: 10.1016/j.visres.2014.11.006

Type Dataset Stoll, Josef, Thrun, Michael, Nuthmann, Antje, Einhäuser, Wolfgang (2014): Dataset supplementing Stoll, J., Thrun, M., Nuthmann, A., & Einhäuser, W. (2015). Overt attention in natural scenes: Objects dominate features. Vision Research, 107, 36-48. doi: 10.1016/j.visres.2014.11.006. Zenodo. Dataset. https://zenodo.org/record/573345

Authors: Stoll, Josef (Philipps University Marburg) ; Thrun, Michael (Philipps University Marburg) ; Nuthmann, Antje (University of Edinburgh) ; Einhäuser, Wolfgang (Philipps University Marburg) ;

Links

• Item record in Zenodo
• Digital object URL

Summary

These data supplement the publication

Stoll, J., Thrun, M., Nuthmann, A., & Einhäuser, W. (2015). Overt attention in natural scenes: Objects dominate features. Vision Research, 107, 36-48. doi: 10.1016/j.visres.2014.11.006

and be used freely for scientific purposes provided the aforementioned paper is appropriately cited.

Note that the image files cannot be provided on this site due to copyright restrictions.

The dataset contains the following files:

maps_01.mat - maps_72.mat:

For each image the 6 maps used in the paper are contained, the maps of experiment 1 are labelled as in the paper (AWS, OOM, nOOM, PVL,UNI), AWS2 is the AWS map for the modified stimuli of experiments 2 and 3.

exp?_fixations.mat contains all fixations of the respective experiment.

For experiment 1, there are the variables xFix, yFix, durFix, which contain the x position, the y condition, and the fixation duration of each fixation. Dimensions are images x subjects x fixation number, where the first fixation is the 0th (initial) fixation. The variable condition (image x subject) contains the condition in which the respective image was shown to the subject. For the main analysis only the "0" condition was used, refer to the paper's appendix for the other conditions.

For experiment 2 and 3, variables are called xFixByImage, yFixByImage, dFixByImage and the dimensions are subject x image x fixation number. In addition tFixByImage contains the start of the fixation relative to trial onset (negative for the 0th fixation). In both cases, empty entries are filled with nans.

computeROC.m is a helper function called by other functions.

figure1.m through figure7.m reproduce the figures from the paper to exemplify data usage.

More information

• DOI: 10.5281/zenodo.573345

Subjects

• attention, objects, salience, Fixation, Eye movements, proto-objects, natural scenes

Dates

• Publication date: 2014
• Issued: December 03, 2014

Notes

Rights

• https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
• info:eu-repo/semantics/openAccess Open Access

Format

electronic resource

Relateditems