This repository contains the experiment data and eye model used and developed for the article Hooge, I.T.C., Niehorster, D.C., Hessels, R.S., Cleveland, D. & Nyström, M. (in press). The pupil size artefact (PSA) across time, viewing direction and different eye trackers. Behavior Research Methods
When using the data or eye model in this repository in your work, please cite the Hooge et al. paper.
For more information or questions, e-mail: [email protected] / [email protected]. The latest version of this repository is available from www.github.com/dcnieho/HoogeetalPSADataModel
The eye model in this repository is licensed under the Creative Commons Attribution 4.0 (CC BY 4.0) license. The experiment data are licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC NC-BY-SA 4.0) license.
Contents:
- model: this folder contains the code to run the eye model
- data: this folder contains the data for experiments 1--5
Tested on MATLAB R2020a
N.B.: complete details of changes made is available on github
- initial release containing just this README
- added model and experimental data
By downloading this data set, you expressly agree to the following conditions of release and acknowledge the following disclaimers issued by the authors:
Data are available by permission of the authors. Use of data in publications, either digital or hardcopy, must be cited as follows: Hooge, I.T.C., Niehorster, D.C., Hessels, R.S., Cleveland, D. & Nyström, M. (in press). The pupil size artefact (PSA) across time, viewing direction and different eye trackers. Behavior Research Methods
The authors shall not be held liable for any improper or incorrect use or application of the data provided, and assume no responsibility for the use or application of the data or interpretations based on the data, or information derived from interpretation of the data. In no event shall the authors be liable for any direct, indirect or incidental damage, injury, loss, harm, illness or other damage or injury arising from the release, use or application of these data. This disclaimer of liability applies to any direct, indirect, incidental, exemplary, special or consequential damages or injury, even if advised of the possibility of such damage or injury, including but not limited to those caused by any failure of performance, error, omission, defect, delay in operation or transmission, computer virus, alteration, use, application, analysis or interpretation of data.
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